227 coding-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Bristol" PhD positions in United Kingdom
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engineered enzymes offers a proven solution. Led by The University of Manchester in collaboration with AstraZeneca, The Universities of Bristol and York alongside other leading industrial partners, BioProcess
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(Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your future
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, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching and administration. This means: You are involved in a well-funded research project
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/ BRL) and will involve collaboration with other VIVO partners at the Universities of Bristol, Strathclyde, Imperial College London, and University College London. For an informal discussion about the
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reports, simulations, analysis, code samples, or documentation (multiple references are considered beneficial). The above duties are not exhaustive; the PhD candidate may be required to undertake other
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, the project should aim to exploit massively multicore processors to speedup the simulation of future massively multicore processors. Alongside the University of Bristol's High Performance Computing research
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of theoretical network models, representative of possible next-generation HPC networks. Alongside the University of Bristol's High Performance Computing research group, the PhD programme will be associated with
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funded. International applicants must demonstrate in their application how they will fund shortfall in fees by other means (personal funds,l or other grant); International applicants can visit https
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) or an equivalent qualification accepted by the Home Office. Applications and closing date:Monday 9 February 2026 Applicants should submit through the Abertay University jobs page https://www.abertay.ac.uk/about
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. Unlike standard missing data problems (e.g., missing height or lab results), researchers often do not know when information on symptoms is missing. The usual approach is to assume that if there is no code