65 molecular-modeling-or-molecular-dynamic-simulation positions at UNIVERSITY OF SOUTHAMPTON
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flexible working practices, including a hybrid working model, where employees can split their working time between the office and home, support our belief that this balance brings long-lasting benefits
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dynamic School of Biological Sciences (https://www.southampton.ac.uk/about/faculties-schools-departments/school-of-biological-sciences ). The project will involve close collaboration with an international
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We seek a Research Fellow with a proven publication record to develop resistivity models from marine controlled source electromagnetic (CSEM) data to be acquired in February-March 2026 and to
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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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normal duties. The successful candidate will have a flexible and enthusiastic approach to work and enjoy working as part of a diverse and dynamic team. Communication skills and attention to detail is
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are working on a new project aiming to evaluate nurse's trauma informed approach to women's healthcare, and to develop a best practice model. This project is among a suite of projects aiming to increase
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. Confidence in challenging existing practices and contributing ideas for improvement. The flexibility to work in a dynamic environment where priorities may shift. Experience with tools like SQL, Tableau
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and a flexible home/office hybrid model supporting real work/life balance. Our vision and mission at the University of Southampton is to have a community where staff and students feel welcome, supported
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, clean energy industries, defence, digital technologies or life sciences, specifically: Future mobility, automotive wear, dynamics and propulsion, including future fuels and their storage/applications
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capacity building programme that will help to ensure that the UK remains at the forefront of digital skills and AI. Work spans across three project themes: 1. Large language models for (survey) research and