<div dir="ltr">FYI. Data science postdoc at UC Davis. <div><br clear="all"><div><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div style="font-size:12.8px"><font face="arial, helvetica, sans-serif" size="1" color="#444444">__________________________________________________________</font></div><div style="font-size:12.8px"><font color="#444444" face="arial, helvetica, sans-serif" size="1">Paul Smaldino, Ph.D.</font></div><div style="font-size:12.8px"><div><div style="font-size:16px"><font color="#444444" face="arial, helvetica, sans-serif" size="1">Assistant Professor, </font><span style="color:rgb(68,68,68);font-family:arial,helvetica,sans-serif;font-size:x-small">Cognitive and Information Sciences</span></div><div style="font-size:16px"><font color="#444444" face="arial, helvetica, sans-serif" size="1">Faculty Member, Quantitative and Systems Biology Graduate Group</font></div></div><div><font color="#444444" face="arial, helvetica, sans-serif" size="1">University of California, Merced<br></font></div></div><div style="font-size:12.8px"><a href="http://www.smaldino.com/" target="_blank"><font face="arial, helvetica, sans-serif" size="1" color="#0000ff">http://www.smaldino.com</font></a></div></div></div></div></div></div></div></div></div></div>
<br><div class="gmail_quote">---------- Forwarded message ----------<br>From: <b class="gmail_sendername">Raissa D'Souza</b> <span dir="ltr"><<a href="mailto:raissa.cse@gmail.com">raissa.cse@gmail.com</a>></span><br>Date: Tue, Mar 6, 2018 at 10:41 AM<br>Subject: [complexnets] Fwd: [datascience-announce] [JOB] Postdoc at UC Davis Data Science Initiative!<br>To: complexnets <<a href="mailto:complexnets@ucdavis.edu">complexnets@ucdavis.edu</a>><br><br><br><div dir="ltr">Looks quite appealing.....<div><br clear="all"><div><div class="m_6075335788536234437gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div style="font-size:small"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><span style="border-collapse:collapse;font-size:13px"><div><span style="border-collapse:collapse">-Raissa<br><br></span></div></span></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
<br><div class="gmail_quote">---------- Forwarded message ----------<br>From: <b class="gmail_sendername">Pamela L Reynolds</b> <span dir="ltr"><<a href="mailto:plreynolds@ucdavis.edu" target="_blank">plreynolds@ucdavis.edu</a>></span><br>Date: Tue, Mar 6, 2018 at 10:39 AM<br>Subject: [datascience-announce] [JOB] Postdoc at UC Davis Data Science Initiative!<br>To: "<a href="mailto:datascience-announce@ucdavis.edu" target="_blank">datascience-announce@ucdavis.<wbr>edu</a>" <<a href="mailto:datascience-announce@ucdavis.edu" target="_blank">datascience-announce@ucdavis.<wbr>edu</a>><br><br><br>
<div lang="EN-US" link="#0563C1" vlink="#954F72">
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<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif">The Data Science Initiative at UC Davis is hiring a postdoc!</span></b><span style="font-size:12.0pt;font-family:"Arial",sans-serif">
<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif"><u></u> <u></u></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">See the full job ad (below and attached) and contact us if you have any questions.
<b>We encourage qualified applicants with research backgrounds in <i>any</i> domain to apply.
</b>This is a great opportunity for someone looking for more authentic data science experience and/or looking to pivot their research program or career more toward data science. Applications will be reviewed as they are received; the position is open until
filled. See <a href="http://datascience.ucdavis.edu" target="_blank">http://datascience.ucdavis.edu</a> for more information about the DSI.<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif"><u></u> <u></u></span></p>
<p class="MsoNormal"><b><i><span style="font-size:12.0pt;font-family:"Arial",sans-serif">Please distribute broadly and share this position with your colleagues, postdocs, former students, etc.<u></u><u></u></span></i></b></p>
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<p align="center" style="margin-bottom:0in;margin-bottom:.0001pt;text-align:center">
<span style="font-size:11.0pt;line-height:106%;font-family:"Arial",sans-serif"><u></u> <u></u></span></p>
<p align="center" style="margin-bottom:0in;margin-bottom:.0001pt;text-align:center">
<b><span style="font-size:14.0pt;line-height:106%;font-family:"Arial",sans-serif;color:black">CALL FOR POSTDOCTORAL SCHOLAR IN DATA SCIENCE</span><u></u><u></u></b></p>
<p align="center" style="margin-bottom:0in;margin-bottom:.0001pt;text-align:center">
<span style="font-size:11.0pt;line-height:106%;font-family:"Arial",sans-serif"><u></u> <u></u></span></p>
<p style="margin-bottom:6.0pt"><b><u><span style="font-size:11.0pt;line-height:106%;font-family:"Arial",sans-serif;color:black">Description</span></u></b><b><u><span style="font-family:"Arial",sans-serif"><u></u><u></u></span></u></b></p>
<p style="margin-bottom:10.0pt;line-height:normal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">The Data Science Initiative (DSI) at the University of California, Davis is excited to invite applications for a postdoctoral scholar
starting in Spring/Summer 2018. This postdoc will work at the interface of Data Science and disciplinary problems, developing novel solutions, software and methods to address emerging challenges. The scholar will work both independently and with the research
team at the DSI to make progress on a portfolio of interdisciplinary projects. </span>
<u></u><u></u></p>
<p style="margin-bottom:10.0pt;line-height:normal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">We seek applicants with a keen interest and experience in multi-disciplinary collaborations with various fields. The position requires
scholarly independence, the ability to manage scientific projects and integrate into a larger team and community. This is an excellent opportunity for individuals who want to gain experience in a broad array of authentic data science projects, and who are
keen to learn new technologies/methods and apply them in novel ways to solve real problems. We consider Data Science as a broad field spanning the entire research data pipeline and encompassing a range of skills and knowledge. As such, we encourage applicants
with a proven track record as good problem-solvers from any data-engaged field to apply, regardless of their disciplinary research training.</span><u></u><u></u></p>
<p style="margin-bottom:10.0pt;line-height:normal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">The DSI was founded to promote and support research and training in data-driven discovery across all colleges, schools and disciplines
at UC Davis. The DSI coordinates data-science training activities, provides consulting and collaborative services for research projects, and conducts novel research in data science. Research and training activities at the DSI span the entire data pipeline,
from data acquisition, management, cleaning, transformation, visualization, and modeling to dissemination/publication and high-performance computing, and involve aspects of data governance, security, privacy and ethics. The DSI is committed to fostering an
inclusive environment to promote all members of the university community, including faculty, students and staff from a variety of domains, backgrounds, cultures and personal experiences. For more information, see
</span><a href="https://www.ucdavis.edu/" target="_blank"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1155cc">https://www.ucdavis.edu/</span></a><a href="https://grad.ucdavis.edu/postdoctoral" target="_blank"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1155cc">
</span></a><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">and</span><a href="http://dsi.ucdavis.edu/" target="_blank"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"> http://dsi.ucdavis.edu</span></a><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">.</span><u></u><u></u></p>
<p style="margin-bottom:6.0pt;line-height:normal"><b><u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Qualification Requirements</span></u></b><u></u><u></u></p>
<p style="margin-bottom:10.0pt;line-height:normal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Applicants for the position should have earned a PhD prior to the position start date and have both interest and experience in Data
Science with a background in either:</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:10.0pt;margin-left:.5in;line-height:normal;vertical-align:baseline">
<u></u><span style="font-size:10.0pt;font-family:Symbol"><span>·<span style="font:7.0pt "Times New Roman"">
</span></span></span><u></u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">a field related to Data Science (i.e., Computer Science, Statistics, Machine Learning, Information Science, etc.) with a proven ability to apply methods
and technologies to solve cutting-edge problems in different domains, or</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:10.0pt;margin-left:.5in;line-height:normal;vertical-align:baseline">
<u></u><span style="font-size:10.0pt;font-family:Symbol"><span>·<span style="font:7.0pt "Times New Roman"">
</span></span></span><u></u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">an applied domain with a thesis that contains a significant Data Science component and demonstrable proficiencies in statistics, data technologies, and/or
computational data science.</span><u></u><u></u></p>
<p style="margin-bottom:10.0pt;line-height:normal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#333333;background:white">All applicants are expected to have experience applying modern statistical methods, proficiency in a high-level programming
language (e.g., R or Python), and evidence of hands on data analysis skills. The ideal candidate will have demonstrated strong project leadership and management, interpersonal communication and decision-making skills, and abilities to work well independently
and as part of a team, and also have experience with different forms of data (e.g., text, image, video). Motivation and demonstrated capacity to pursue complex problems and work successfully within a collaborative setting are also essential. Preferred candidates
will also have some/any of the following skills: </span><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">use of SQL and NoSQL databases; high-performance computing; web/JavaScript-based data visualization tools; natural language processing;
machine learning methods and applications.</span><u></u><u></u></p>
<p style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal"><b><u><span style="font-size:6.0pt;font-family:"Arial",sans-serif;color:black"><u></u><span style="text-decoration:none"> </span><u></u></span></u></b></p>
<p style="margin-bottom:6.0pt;line-height:normal"><b><u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Major Responsibilities</span></u></b><u></u><u></u></p>
<p style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">The postdoctoral scholar is expected to:</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:0in;margin-left:.5in;margin-bottom:.0001pt;line-height:normal;vertical-align:baseline">
<u></u><span>1.<span style="font:7.0pt "Times New Roman"">
</span></span><u></u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Collaborate with DSI partners to work on cross-disciplinary research projects.</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:0in;margin-left:.5in;margin-bottom:.0001pt;line-height:normal;vertical-align:baseline">
<u></u><span>2.<span style="font:7.0pt "Times New Roman"">
</span></span><u></u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Conduct research in Data Science methods and technologies.</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:0in;margin-left:.5in;margin-bottom:.0001pt;line-height:normal;vertical-align:baseline">
<u></u><span>3.<span style="font:7.0pt "Times New Roman"">
</span></span><u></u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Train students, faculty and staff, possibly including designing and leading workshops and/or courses, supervising interns, etc.</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:10.0pt;margin-left:.5in;line-height:normal;vertical-align:baseline">
<u></u><span>4.<span style="font:7.0pt "Times New Roman"">
</span></span><u></u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Help foster the Data Science community via participating in our DSI Affiliates program and events.</span><u></u><u></u></p>
<p style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Training and opportunities for the postdoctoral scholar include:</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:0in;margin-left:.5in;margin-bottom:.0001pt;line-height:normal;vertical-align:baseline">
<u></u><span style="font-size:10.0pt;font-family:Symbol"><span>·<span style="font:7.0pt "Times New Roman"">
</span></span></span><u></u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Dedicated research mentoring.</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:0in;margin-left:.5in;margin-bottom:.0001pt;line-height:normal;vertical-align:baseline">
<u></u><span style="font-size:10.0pt;font-family:Symbol"><span>·<span style="font:7.0pt "Times New Roman"">
</span></span></span><u></u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Research funding to support approved travel and dissemination of research conducted at the DSI.</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:0in;margin-left:.5in;margin-bottom:.0001pt;line-height:normal;vertical-align:baseline">
<u></u><span style="font-size:10.0pt;font-family:Symbol"><span>·<span style="font:7.0pt "Times New Roman"">
</span></span></span><u></u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Access to the computing resources at UC Davis and the DSI, including compute servers and clusters as well as Amazon Web Services resources.</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:0in;margin-left:.5in;margin-bottom:.0001pt;line-height:normal;vertical-align:baseline">
<u></u><span style="font-size:10.0pt;font-family:Symbol"><span>·<span style="font:7.0pt "Times New Roman"">
</span></span></span><u></u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Access to opportunities for specialized training sponsored by the DSI and other scientific computing groups at the University.</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:0in;margin-left:.5in;margin-bottom:.0001pt;line-height:normal;vertical-align:baseline">
<u></u><span style="font-size:10.0pt;font-family:Symbol"><span>·<span style="font:7.0pt "Times New Roman"">
</span></span></span><u></u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Teaching opportunities in workshops for relevant areas of speciality and possible teaching of undergraduate or graduate data science courses.</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:10.0pt;margin-left:.5in;line-height:normal;vertical-align:baseline">
<u></u><span style="font-size:10.0pt;font-family:Symbol"><span>·<span style="font:7.0pt "Times New Roman"">
</span></span></span><u></u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Opportunity to mentor graduate and undergraduate students on projects that will expose the scholar to practical data science problems across domains.</span><u></u><u></u></p>
<p style="margin-bottom:10.0pt;line-height:normal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">The postdoctoral fellow will report to the Faculty Director of the Data Science Initiative, and will assist the Academic Coordinator
and Associate Directors of the Initiative.</span><u></u><u></u></p>
<p style="margin-bottom:10.0pt;line-height:normal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">This is not a tenure-track position and is for one year, with the possibility of extension. Salary will be commensurate with experience
and university policy. Given the sensitive nature of the data involved in the research, this position is subject to background check. Employment is contingent upon successful completion of a background investigation including criminal history and identity
check. The successful applicant must be eligible to work in the USA.</span> UC Davis is an affirmative action/equal employment opportunity employer and is dedicated to recruiting a diverse community. We welcome all qualified applicants to apply, including
women, minorities, veterans and individuals with disabilities.<u></u><u></u></p>
<p style="margin-bottom:6.0pt;line-height:normal"><b><u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">How to Apply</span></u></b><u><u></u><u></u></u></p>
<p style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal"><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Documents</span></b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">: To apply please
submit the following items as one pdf document:</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:0in;margin-left:.5in;margin-bottom:.0001pt;line-height:normal;vertical-align:baseline">
<u></u><span style="font-size:10.0pt;font-family:Symbol"><span>·<span style="font:7.0pt "Times New Roman"">
</span></span></span><u></u><b><i><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Curriculum Vitae</span></i></b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">, including listing of pertinent coursework
and relevant Github repository.</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:0in;margin-left:.5in;margin-bottom:.0001pt;line-height:normal;vertical-align:baseline">
<u></u><span style="font-size:10.0pt;font-family:Symbol"><span>·<span style="font:7.0pt "Times New Roman"">
</span></span></span><u></u><b><i><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Cover Letter</span></i></b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">, including your desired start date</span>.<u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:0in;margin-left:.5in;margin-bottom:.0001pt;line-height:normal;vertical-align:baseline">
<u></u><span style="font-size:10.0pt;font-family:Symbol"><span>·<span style="font:7.0pt "Times New Roman"">
</span></span></span><u></u><b><i><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Statement of Research Background and Demonstrated Competency in Data Science</span></i></b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">.</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:0in;margin-left:.5in;margin-bottom:.0001pt;line-height:normal;vertical-align:baseline">
<u></u><span style="font-size:10.0pt;font-family:Symbol"><span>·<span style="font:7.0pt "Times New Roman"">
</span></span></span><u></u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Optional:</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:0in;margin-left:.75in;margin-bottom:.0001pt;line-height:normal;vertical-align:baseline">
<u></u><span style="font-size:10.0pt;font-family:Symbol"><span>·<span style="font:7.0pt "Times New Roman"">
</span></span></span><u></u><b><i><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Brief Example Research Plan</span></i></b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">, including research interests
that align with ongoing projects at the DSI (see </span><a href="http://dsi.ucdavis.edu/collaboration.html" target="_blank"><span style="color:#1155cc">http://dsi.ucdavis.edu</span></a>) and learning strategy for skills that need development.<span style="font-size:7.0pt;color:black">
</span><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:0in;margin-left:.75in;margin-bottom:.0001pt;line-height:normal;vertical-align:baseline">
<u></u><span style="font-size:10.0pt;font-family:Symbol"><span>·<span style="font:7.0pt "Times New Roman"">
</span></span></span><u></u><b><i><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Transcripts
</span></i></b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">from graduate and undergraduate institutions (strongly encouraged).</span><u></u><u></u></p>
<p style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal"><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">References:</span></b><u></u><u></u></p>
<p style="margin-right:0in;margin-bottom:10.0pt;margin-left:.5in;line-height:normal;vertical-align:baseline">
<u></u><span style="font-size:10.0pt;font-family:Symbol"><span>·<span style="font:7.0pt "Times New Roman"">
</span></span></span><u></u><b><i><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">3 letters of academic recommendatio</span></i></b><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">n emailed directly from
the letter writer.</span><u></u><u></u></p>
<div style="border:none;border-bottom:solid windowtext 1.0pt;padding:0in 0in 1.0pt 0in;margin-left:0in;margin-right:1.8pt">
<p style="margin-bottom:10.0pt;line-height:normal;border:none;padding:0in"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">Send all questions and materials to
</span><a href="mailto:datascience@ucdavis.edu" target="_blank"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1155cc">datascience@ucdavis.edu</span></a><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1155cc"> with the subject line
<b><i>“DSI Postdoc Application.”</i></b> Applications will be reviewed as they are received. Start dates are expected between April and September 2018. The position is open until filled. Questions? Contact
<u><a href="mailto:datascience@ucdavis.edu" target="_blank">datascience@ucdavis.edu</a></u></span><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black"> or
</span><a href="mailto:plreynolds@ucdavis.edu" target="_blank"><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:#1155cc">plreynolds@ucdavis.edu</span></a><span style="font-size:11.0pt;font-family:"Arial",sans-serif;color:black">.</span><u></u><u></u></p>
</div>
<p class="MsoNormal"><u></u> <u></u></p>
<p class="MsoNormal"><span style="font-size:10.0pt">--<br>
Pamela L Reynolds, PhD <br>
<a href="mailto:plreynolds@ucdavis.edu" target="_blank">plreynolds@ucdavis.edu</a> <br>
<a href="tel:(530)%20752-5823" value="+15307525823" target="_blank">530.752.5823</a> <br>
Data Science Initiative <br>
</span><span style="font-size:10.0pt">University of California, Davis <br>
One Shields Avenue, Davis CA 95616<u></u><u></u></span></p>
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