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<p class="MsoNormal"><span lang="EN-US" style="color:black">Dear colleagues,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:black"><br>
</span><span lang="EN-GB" style="color:black">We are pleased to announce that following SIB course on:<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-GB" style="color:#0066CC"><a href="https://www.sib.swiss/training/course/20221128_IBAYE">Introduction to Bayesian statistics with R</a></span></b><span lang="EN-GB" style="color:black"><br>
<br>
which will take place on 28-30 November 2022, is now open for applications.<span class="apple-converted-space"><b> </b></span><b><o:p></o:p></b></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="color:black"><br>
Data analysis is fundamental for reaching scientific conclusions and testing different model hypotheses. Key to this is understanding uncertainty in our results, and Bayesian statistics offers a framework to quantify and assess the variability in our inference
from data. <o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="color:black">This 3-day course will introduce you to the core concepts of Bayesian statistics through lectures and applied examples: <o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="color:black"><o:p> </o:p></span></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoNormal" style="color:black;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo3">
<span lang="EN-GB">Days 1 & 2 (<b>in person only, in Basel</b>) will be dedicated to lectures and practical exercises using R and Rstan library. They will enable you to use standard Bayesian statistical tools and interpret your results.<o:p></o:p></span></li><li class="MsoNormal" style="color:black;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo3">
<span lang="EN-GB">Day 3 (<b>online on Zoom</b>) will host a series of talks by experts from SIB groups, who will present state-of-the-art Bayesian methods and their application in the life sciences.<o:p></o:p></span></li></ul>
<p class="MsoNormal"><span lang="EN-GB" style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="color:black">You can either register for Day 3 only (free-of-charge, but registration is mandatory
</span><span lang="EN-GB"><a href="https://forms.office.com/Pages/ResponsePage.aspx?id=KewaGuOxtEGL2iiKlpme_21YWKjkPbBBkP2NRGPf7v5UQVhNQTVRMFNTOFBCNFExME5TU1AyRko4Ui4u">via this form</a>)<span style="color:black">, or apply for the three full days (fees apply,
and registration is also mandatory. Link for application in the <a href="https://www.sib.swiss/training/course/20221128_IBAYE">
course page</a>).<o:p></o:p></span></span></p>
<p><span style="color:black">This course is addressed to:<o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo6">
<span lang="EN-GB">any life scientists who is familiar with statistical inference and who would like to add the Bayesian perspective to enrich their research<o:p></o:p></span></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo6">
<span lang="EN-GB">PhD students, postdocs and other researchers, from any scientific environment (academia, facilities, companies, etc.)<span class="apple-converted-space"> </span><o:p></o:p></span></li></ul>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-GB" style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-GB" style="color:black">Further detailed information, prerequisites and application form</span><span lang="EN-US" style="color:black">s</span><span lang="EN-GB" style="color:black">
are available <a href="https://www.sib.swiss/training/course/20221128_IBAYE" title="https://www.sib.swiss/training/course/20221010_FSWIR">
<span lang="EN-US">here</span></a></span><span lang="EN-US" style="color:black">.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-GB" style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-GB" style="color:black">Should you have any questions, please don't hesitate to contact us at
<a href="mailto:training@sib.swiss" title="mailto:training@sib.swiss"><span style="color:black;text-decoration:none">training@sib.swiss</span></a></span><span style="color:black"><o:p></o:p></span></p>
<p><span style="color:black">Best regards,<br>
Patricia<o:p></o:p></span></p>
<div>
<div>
<p class="MsoNormal">--<br>
<b><span style="font-size:9.0pt;font-family:Helvetica">Patricia Palagi, PhD<br>
SIB Training<br>
<span style="color:red">SIB</span> | Swiss Institute of Bioinformatics<br>
Quartier Sorge, Bâtiment Amphipôle - 1015 Lausanne - Switzerland<br>
<a href="mailto:patricia.palagi@sib.swiss">patricia.palagi@sib.swiss</a> - <a href="http://www.sib.swiss">
www.sib.swiss</a> </span></b></p>
</div>
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<p class="MsoNormal"><span lang="EN-GB"><o:p> </o:p></span></p>
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