846 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" Fellowship positions in United Kingdom
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Position Details School of Geography, Earth and Environmental Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130
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: 24th August 2025 Background A post-doctoral research fellow position is available in the Fungal Immunology Group within the Institute of Immunology & Immunotherapy, College of Medical & Dental Sciences
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A position exists, for a Research Associate in the Department of Engineering, to work on research in the fields of techno-economic analysis of water treatment technologies. The post holder will be
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well as their relationships with China in the East and Europe in the West. The research project can be situated in any discipline or interdisciplinary position and can address any aspect of the movement of materials, knowledge
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research
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for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline Extensive experience and expertise in applying/developing and
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Universities? You will join a collaborative programme with Merck Electronics KGa, a world-leading company working in liquid crystals. You will work with a team of scientists from the company along with Dr
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degree (or equivalent) or a Masters degree in Criminology or Social Science. Have or be about to obtain a PhD in a relevant subject (within 6 months). Sufficient experience of engaging with statutory
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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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: 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