21 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData" Fellowship positions at The University of Southampton
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engineering, materials science, and microbiology. About you You will hold a PhD in Computational Chemistry, Chemical Physics, Materials Science, Biophysics, Computational Biology, Biomedical Engineering, or a
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, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation
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We are seeking highly motivated post-doctoral researchers of high calibre to join our research program working in the area of electronic textiles. The role is suited to candidates from either
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at registrar level and will require a medical qualification. It would be suitable for a trainee with relevant experience in cancer clinical research as out of program experience or for someone wishing to pursue
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, to establish new physical principles for designing high-efficiency, low-noise multi-rotor configurations. You will have access to state-of-the-art facilities for conducting aeroacoustics measurements and will
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The University of Southampton is inviting applications for a postdoctoral position in gravitational-wave astronomy. The successful candidate will join Greg Ashton’s STFC-funded programme, Advancing
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programme. To be successful in this role, you will need to demonstrate: A Ph.D. (or equivalent) in physics or engineering, specialising in photonic devices. Substantial and authoritative practical knowledge
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researcher with a strong interest in optical fibre technology to work on the UK’s Engineering and Physical Sciences Research Council (EPSRC) funded Programme Grant, HiPPo (Smart Fibre optic High-power
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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer