93 computational-physics "https:" "https:" "https:" "https:" "IFM" uni jobs at Imperial College London
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medical school in Carlisle. Our unique four-year graduate entry programme, launched in August 2025, aims to fully support and prepare students for the demands of learning, assessment and their ongoing
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and centres and the School of Convergence Science. Recruitment is open to expertise in all relevant areas including those with data and computational science expertise looking to both embed in medical
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Disclosure and Barring Service (DBS) check, at the appropriate level,will be required for the successful candidate. Further information about the DBS disclosure process can be found at http
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learn about some of our projects at the following link: https://www.imperial.ac.uk/research-and-innovation/support-for-staff/imperial-projects/project-successes/ You will work closely with the Head of
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journals Knowledge of hydrological data collection, curation, and analysis Ability to conduct a detailed review of recent literature Advanced computer skills including scientific data analysis (e.g., Python
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machine learning techniques, with a view to solving complex AI4Science problems in areas ranging from 3D generative models of proteins and molecules to physics and material simulations. Successful
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; and other duties, such as publishing papers and supervising other researchers. You will work closely with another 2 PhD students with computational skillsets, a post-doc with microfluidics expertise
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another 2 PhD students with computational skillsets, a post-doc with microfluidics expertise, and a post-doc with biomedical acoustics expertise. Together, you will be creating a new generation of
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closely with other laboratory staff in the facility and with personnel at Imperial and to our partners, including other cores/scientific staff, High Performance Computing Service, Data Centre and cloud. You
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Technological University (NTU) are seeking Research Engineers to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices