17 postdoctoral-image-processing-in-computer-science-"Washington-University-in-St" Fellowship positions at Queen's University Belfast
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cytokine analyses, including validation work in collaboration partners at Washington University in St Louis. The candidate will have the opportunity to gain supervisory experience relating to more junior
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cytokine analyses, including validation work in collaboration partners at Washington University in St Louis. The candidate will have the opportunity to gain supervisory experience relating to more junior
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project: Atropisomerism as an Enabling Technology for Foldamers. This research programme aims to develop a new class of artificial oligomers – atropisomeric foldamers – in which molecular conformation is
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alongside computational biology approaches to map epigenetic changes driven by WNT/GSK3 signalling in ESCs. This collaborative project offers access to world-class expertise, state-of-the-art resources, and
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. Essential experience includes the use of polymer analysis equipment (e.g. FTIR, Raman), and practical knowledge of materials like PET, including how they are processed using injection moulding and stretch
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Queen’s Communities and Place (QCAP) is an AHSS Faculty flagship research initiative based in the School of Social Sciences, Education and Social Work. It launched in November 2021, and supports
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Queen’s Communities and Place (QCAP) is an AHSS Faculty flagship research initiative based in the School of Social Sciences, Education and Social Work. It launched in November 2021 and supports
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Queen’s Communities and Place (QCAP) is an AHSS Faculty flagship research initiative based in the School of Social Sciences, Education and Social Work. It launched in November 2021 and supports
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administrative processes. Possess sufficient breadth and depth of specialist knowledge in Health & Social Care research methods and techniques to work within SUMIT programme. To be successful at shortlisting stage
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure