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<h1 style="box-sizing: border-box; font-size: 1.8em; margin: 20px 0px 10px; line-height: 44px; color: rgb(102, 102, 102); font-family: Arial, sans-serif; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">
Postdoc position available: AI methods for large-scale microscopy imaging</h1>
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<font color="#333333" face="Arial, sans-serif" class=""><span style="font-size: 14px;" class="">In my team at Uppsala University we</span></font><span style="font-size: 14px; color: rgb(51, 51, 51); font-family: Arial, sans-serif;" class=""> are currently looking
for an ambitious, highly motivated Postdoc with a good background in AI and imaging to join our research group where we have built up a robotized cell profiling system with high-content microscopy imaging as primary readout. The successful candidate will join
an interdisciplinary team of researchers and participate in a project aiming to develop autonomous laboratories with</span><span style="font-size: 14px; color: rgb(51, 51, 51); font-family: Arial, sans-serif;" class=""> </span><span style="font-size: 14px; color: rgb(51, 51, 51); font-family: Arial, sans-serif;" class="">applications
in systems pharmacology and systems toxicology. For more information on the group, see </span><span style="font-size: 14px; color: rgb(51, 51, 51); font-family: Arial, sans-serif;" class=""><a href="https://pharmb.io" class="">https://pharmb.io</a></span><span style="font-size: 14px; color: rgb(51, 51, 51); font-family: Arial, sans-serif;" class=""> and
the automation project: </span><span style="font-size: 14px; color: rgb(51, 51, 51); font-family: Arial, sans-serif;" class=""><a href="https://pharmb.io/project/ai-automated-laboratory/" class="">https://pharmb.io/project/ai-automated-laboratory/</a></span><span style="font-size: 14px; color: rgb(51, 51, 51); font-family: Arial, sans-serif;" class="">.</span></p>
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This is a 2-year postdoc position. Assignments include development and application of methods for large-scale analysis of microscopy images using AI / Machine Learning within the framework of the HASTE project. The project focuses on AI / machine learning with
quantifiable confidence or probability, based on methods such as Active Learning, Conformal Prediction, Probabilistic (Venn) Prediction, and Deep Learning. Applicants are expected to collaborate with other project members and participate in regular research
visits with industry partners AstraZeneca and Vironova.</span></font></p>
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Qualifications</h2>
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PhD degree or a foreign degree equivalent to a PhD degree in a relevant field. The PhD degree must have been obtained no more than three years prior to the application deadline. The three year period can be extended due to circumstances such as sick leave,
parental leave, duties in labour unions, etc. Documented experience with AI / ML methods and / or computerized image analysis. Experience in programming in eg Python is a requirement. Applicants should have excellent communication skills and be keen to actively
interact with other team members including biologists, systems developers and researchers in AI / ML. Furthermore, applicants should be curious and creative, take initiatives and build relationships. Applicants should have good organizational ability, be able
to structure work with multiple projects and solve anticipated and unexpected problems. The applicant must be able to express themselves very well in written and oral English</p>
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<b class="">More information: </b><a href="https://pharmb.io/blog/postdoc-pos-ai-haste-2020/" class="">https://pharmb.io/blog/postdoc-pos-ai-haste-2020/</a></p>
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<div class="">Ola Spjuth, PhD, Docent</div>
<div class="">Associate Professor, <span style="text-align: -webkit-auto;" class="">Department of Pharmaceutical Biosciences</span></div>
<div class=""><span style="text-align: -webkit-auto;" class="">Director of Studies, Pharmaceutical Bioinformatics</span></div>
<div class="">Box 591, Uppsala University, Uppsala, <span style="text-align: -webkit-auto;" class="">Sweden</span></div>
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<div class=""><a href="mailto:ola.spjuth@farmbio.uu.se" class="">Email: ola.spjuth@farmbio.uu.se</a></div>
<div class="">Ph: +46 (0)70 425 06 28</div>
<div class="">Web: <a href="https://pharmb.io" class="">https://pharmb.io</a></div>
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