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Field
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and contribute to other activities in the group as needed (e.g. supervision of student projects). You will have a PhD in bioinformatics, computational biology, genomics or a related field. You should be
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develop and apply machine learning techniques to accelerate simulations and extract insights from complex model outputs. A PhD in (or equivalent experience) in Biomedical Engineering, Computer Science, Data
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, Continuum Mechanics, Computer Science, Materials Science, Physics or a related subject, or relevant industrial experience. English language requirements: Applicants must meet the minimum English language
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Field, University of Sheffield Background info to the programme We are delighted to invite applications for a fully-funded three year PhD studentship hosted in Plants, Photosynthesis and Soil (PPS
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to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
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computational software package written in C++. What you would be doing: You will simulate coupled hydro-thermo-mechanical processes that may be expected to occur in low-strength sedimentary rocks (LSSR) in
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The Hadronic Matter Group of the Physics Department is seeking a Postdoctoral Research Associate to support its STFC-funded Electron Ion Collider R&D programme, which aims to develop new
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initial programme theory statements as Context-Mechanism-Outcome To undertake data collection via literature reviews, realist interviews/focus groups, observations of practice, questionnaire and collection
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This self-funded PhD research project aims to develop smart sensors based on low-frequency resonance accelerometers for condition monitoring of ultra-speed bearings. The developed smart sensors will