200 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" positions at University of Manchester
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of Manchester’s Manchester Institute of Biotechnology (MIB). Imperagen has developed a platform technology to accelerate enzyme development and support sustainable bio-based products and processes. To support
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, physical geographer, decision scientist, environmental engineer (or similar) to develop and implement decision support models for improved groundwater quality and remediation, particularly in the context
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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Background A Research Associate position is available for an outstanding and ambitious materials scientist to undertake research in the project: developing accelerating DC DYNAMIC cable technology
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power systems – specifically voltage sourced converter based HVDC. The work will involve developing and analysing models of VSC-HVDC, their associated controls, and network connection, in PSCAD and Matlab
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The School of Engineering has an opportunity for a Research Associate, working with Prof Cise Unluer, to make a leading contribution to ongoing projects involving the integration of industrial
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Department of Health & Social Care (DHSC) and has played a critical role in making the UK the global centre for vaccine discovery, development and manufacture. Most prominently, Vax-Hub 1 research underpinned
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this project we will develop a novel experimental system that is complex yet tractable, enabling rich, coordinated multi-omics analysis coupled with computational modelling to deliver deep mechanistic insight
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-returnable research that attracts external funding; develop productive local, national and international research collaborations; promote, develop and conduct interdisciplinary research; publish in high
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, post-docs and interns collaborating across universities to build better algorithms, software tools and benchmarks to assess the safety of AI implementations at the software and hardware level. We