16 finite-element-analysis positions at The University of Southampton in United Kingdom
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emerging multi-omic measurements to build and test machine-learning-based multimodal risk prediction tools. A key element of the role will be to explore how different data types and AI-derived features can
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leading a diverse team in a large organisation. The ability to solve complex challenges, collaborate well with a range of stakeholders and respond to changing market conditions are critical elements
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– Testing Models of Active Extension (TMAX) – will involve collection and analysis of new earthquake data in the Corinth Rift, Greece. The researcher will take a lead role in fieldwork during the project
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opportunity to contribute to the early years (1 &2) of undergraduate medical education for students on the BM4/5/6/EU medical degree programmes with a focus on the primary care elements; early clinical
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, and cost-effectiveness analysis in the context of clinical trials. About the role You'll work as part of our evidence synthesis team on projects for NICE. This involves critical appraisal of evidence
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beyond. Your tasks will be to lead data reduction, analysis and modelling of GRAVITY+ data and contribute to the development of the data reduction software. The Southampton Astronomy Group provides a
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resistivity data but will also consider applicants with experience more focused in relevant geophysical data analysis. The Research Fellow will join an international team in the project “Quantifying evolution
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engagement, site set-up, data collection, analysis, and dissemination. About you Applications will be considered from candidates who have a PhD or a research-related qualification, experience in a health
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+, active galactic nuclei and analysis of interferometric data. Informal enquiries are welcome via email to Prof Sebastian Hoenig, s.hoenig@soton.ac.uk . As a university we aim to create an environment where
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anaerobic digestion / anaerobic fermentation systems will be an advantage. A hands-on approach and strong skills in experimental design and analysis are essential, along with a keen interest in developing new