675 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" PhD positions in United Kingdom
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effects on the human host, either beneficially, such as antibacterial compounds, or negatively, such as toxins. Computational analysis of genomic data highlights a vast number of pathways to such molecules
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assays, computational docking, NMR spectroscopy, site-directed mutagenesis, macrophage biology, and cell death assays. This project would suit a graduate in Pharmacology, Biomedicine, Biomedical Science
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the computational design and synthesis of peptides and small molecules, the analysis of compounds binding to proteins and their activity in cancer cells. Led by Dr Andrew Beekman and Professor Mark Searcey, there is
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small elements of computational chemistry (electronic structure calculations) to help interpret experimental observations, supported by local and national supercomputing facilities. Entry Requirements
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Primary supervisor - Prof Mark Searcey One of the key problems in the development of new anticancer agents is specificity. How do you get the compound to the site of action in the body and avoid the side effects that are often seen with classical cancer drugs? Over the years there have been a...
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, visions and concerns in innovation. Entry requirements The standard minimum entry requirement is 2:1 in Geography, Sociology, Political Science, Anthropology, Design, Architecture, Engineering, Computer
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disciplines to contribute to world-changing research in the development and deployment of trustworthy AI. The scholarship programme is part of the University’s internationally recognised Cyber Security Global
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undergraduate degree relevant to each individual project, e.g., Experimental Psychology, Physics, Neuroscience, Computer Science, Electrical Engineering, or a related subject. In addition, an appropriate master’s
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candidate with a strong quantitative background (e.g., in computer science, statistics, bioinformatics). The following skills are essential for this project: Excellent programming skills in Python. Proven
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Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The