655 parallel-computing-numerical-methods-"DTU" Fellowship positions in United Kingdom
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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methods Undertake management/administration arising from research Contribute to Departmental/School research-related activities and research-related administration Contribute to enterprise, business
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS
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of the aerodynamic forces and moments on the powerplant and how they are affected by operating conditions and design choices. Part of the research within this post will be to refine the computational methods to ensure
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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working
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to the discipline Contribute to developing new models, techniques and methods as appropriate Undertake management/administration arising from research Contribute to public engagement activities of manifest benefit to
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research tasks to deliver the JUST-Systems programme on time and to budget. They will take a leading role in the delivery of the East Ayrshire case study that focuses on the place-based solutions for net
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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relevant global data bases. A team player with excellent organisational and management skills you will use mixed methods research including meta-analysis, interviews with women, partners, and healthcare