17 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at Queen's University Belfast in United Kingdom
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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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An upper second class honours degree (or equivalent) or a Master’s degree in a social science or other relevant area Have obtained a PhD in a relevant subject. Experience Have substantial post PhD experience
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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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Criteria: Education and Qualifications An upper second class honours degree (or equivalent) or a Masters degree in a social science or other relevant area Have or be about to obtain a PhD in a relevant
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science or other relevant area. Have or be about to obtain a PhD in a relevant subject. Experience: Specific, relevant research experience working on a project that relates to health and social care
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or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering
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(or equivalent) or a Masters degree in a social science or other relevant area Have or be about to obtain a PhD in a relevant subject. Experience: Specific, relevant research experience working on a project that
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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
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clearly demonstrate that you meet each of them: BSc in Biochemistry/Molecular Biology, Biology or relevant life sciences subject. Have or about to obtain a PhD in a relevant area of parasitology, molecular
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this post) a PhD in molecular biology, cell biology, pharmacology or a related area of biomedicine. Previous track record of high-quality research in the field radiation biology research or cardiovascular