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<span class="" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-family: Helvetica; font-size: 12px; font-weight: normal;">[Apologies if you receive multiple copies] </span></h1>
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<span class="" style="font-size: 12px;">Post-Doctoral Research Assistant (Computer Vision and Machine/Deep Learning)</span></h1>
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The CfACS Human-Centred Computing is looking for a Post-Doctoral Research Assistant to undertake research in the field of computer vision and machine/deep learning to improve our current diabetic foot ulcer detection technology (FootSnap) by re-designing and
further developing a foot care app for people with diabetes.</p>
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The Postdoc will re-design the FootSnap app, work with all relevant stakeholders to improve the mobile technology, conduct user acceptance trials, and develop a functional cross platform mobile app. The ideal candidate must have a PhD degree or be about to
obtain a PhD degree in Computer Vision and/or Machine/Deep Learning. Good software development skills are essential, preferably with previous work in Android or iOS development. Experience in developing algorithm based on data-driven (large datasets) approach
with at least one of the deep learning frameworks (e.g. Tensorflow, Caffe).</p>
<div class="">To apply: <a href="https://manmetjobs.mmu.ac.uk/jobs/vacancy/post-doctoral-research-assistant-computer-vision-and-machine-deep-learning-1319-mmu-all-saints-campus/1330/description/" class="">https://manmetjobs.mmu.ac.uk/jobs/vacancy/post-doctoral-research-assistant-computer-vision-and-machine-deep-learning-1319-mmu-all-saints-campus/1330/description/</a></div>
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<div class="">Many thanks</div>
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<div class="">Best regards</div>
<div class="">Moi Hoon</div>
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<div class=""><font size="1" class="">Dr. Moi Hoon Yap <br class="">
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<div class=""><font size="1" class="">Reader in Computer Vision</font></div>
<div class=""><font size="1" class="">Lead, Human-Centred Computing</font></div>
<div class=""><i class=""><font size="1" class="">Address:</font></i></div>
<div class=""><span class="" style="font-size: x-small;">Manchester Metropolitan University | </span><font size="1" class="">John Dalton Building (E129) | Chester Street | Manchester | M1 5GD<br class="">
<i class="">Telephone:</i> (+44) 0161 247 1503 | <i class="">Facsimile:</i> (+44) 0161 247 6840<br class="">
<i class="">Website: </i><a href="http://www2.docm.mmu.ac.uk/STAFF/M.Yap/" class="">http://www2.docm.mmu.ac.uk/STAFF/M.Yap/</a></font></div>
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We welcome your participation:</div>
<div class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;">
The Second Facial Micro-Expressions Grand Challenge: <a href="https://facial-micro-expressiongc.github.io/MEGC2019/" class="">https://facial-micro-expressiongc.github.io/MEGC2019/</a></div>
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Conference - CITS 2019: <a href="http://atc.udg.edu/CITS2019/" class="">http://atc.udg.edu/CITS2019/</a></div>
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Special Issue “Human Behavioral Analysis for Face and Gesture: Pathways to automation”: <a href="https://www.mdpi.com/journal/symmetry/special_issues/Human_Behavioral_Analysis_Face_Gesture" class="">https://www.mdpi.com/journal/symmetry/special_issues/Human_Behavioral_Analysis_Face_Gesture</a></div>
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