883 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" Fellowship positions in United Kingdom
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: Essential criteria PhD in bioinformatics, computational biology, or a related discipline Extensive experience and expertise in applying/developing and training deep learning models on biological, chemical or
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technology university delivering economic, social and cultural benefits. The University has been awarded a grant by the British Council through the International Science Partnerships Fund, provided by UK
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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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The above part-time (0.6FTE) role is available on fixed-term basis from November 2025 until the end of June 2027. The post The Faculty of Health and Life Sciences wishes to recruit a Postdoctoral
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models, techniques and methods. Person Specification A first degree in Chemistry, Physics, Chemical Engineering, Materials Science or related subject, and a PhD (or close to completion) in an area relevant
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dynamics at the plasma membrane. Applicants must be highly motivated and self-driven, with a PhD in molecular biology, cellular or molecular pharmacology or a related area of biological sciences
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motivated scientist with: A PhD or MD Knowledge of Biochemistry/Molecular Biology Experience with stem cell models (required) Experience in brain analysis (desirable) About us and what we offer Located within
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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
Position Details School of Metallurgy and Materials, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally
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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
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culture techniques. Candidates should have a PhD (or equivalent) in food science, nutrition, or a related discipline, with experience in in vitro digestion, specifically using the INFOGEST static digestion