57 parallel-computing-numerical-methods-"Prof" Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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range of experimental methods including experimental cognitive psychology, psychopharmacology, psychophysiology and neuroscience methods to better understand the aetiology and treatment of mood and
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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) The University of Southampton invites applications for a full-time Postdoctoral Researcher to join a newly formed collaboration between Prof. Alberto Naveira Garabato, Dr. Alessandro Silvano and Dr. João M
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here, https://www.gov.uk/guidance/academic-technology-approval-scheme . The appointment is for 36 months, starting as soon as possible. Informal enquiries are welcomed and should be directed to Prof
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(or be close to completing one) with strong quantitative and computational skills in high-performance computing environments. Your expertise should be in one or more of the following areas: hydrological
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working with Prof. George Chen. Join a multi-disciplinary team at the TDHVL that includes academic staff, postdoctoral researchers, engineers, PhD and undergraduate students. For further details on our
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candidates with a background in civil engineering, preferably with experience in geotechnical physical, analytical and/or numerical modelling. You will be responsible for developing a simplified computational
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(R3) Country United Kingdom Application Deadline 20 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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professional development, exploring new tools and methods relevant to clinical trial applications. About You The successful candidate must have a PhD in Bioinformatics, Computational Biology, or a closely
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A position is available in the Faculty of Medicine at the University of Southampton for a Research Fellow to join the REPAIR study, funded by Wellcome Leap as part of the Missed Vital Sign programme