72 computational-physics-"https:"-"https:"-"https:"-"https:" positions at Imperial College London
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help create the next generation of doctors and scientists—benefiting patients and populations globally. We are seeking a highly motivated individual to join our team as Programme Administrator
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supervisors Dr. Andrew Scott (imaging physics), National Heart and Lung Institute/RBH and Professor Denis Doorly (computational modelling), Aeronautics, Imperial. The research will develop our computational
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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is...
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researchers and educators to join as visiting academics by appointment through the Provost’s Visiting Professor (PVP) Programme. This is a superb opportunity for academics interested in taking sabbatical leave
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help create the next generation of doctors and scientists—benefiting patients and populations globally. We are seeking a highly motivated individual to join our team as Programme Administrator (MBBS
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Shape the future of the mathematical sciences—join us as an Assistant, Associate, or Full Professor in Pure Mathematics, in Applied Mathematics & Mathematical Physics, in Statistics, or in
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We are seeking to appoint a full-time Programme Coordinator to join the Undergraduate Programme Team at Imperial Business School. This role presents an excellent opportunity to contribute to a fast
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The role will engage in cutting-edge translational research that develops computational models for assessing cardiac biomechanics and for predicting outcomes in cardiac diseases. This includes (1) a
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Are you an innovative scientist passionate about bridging chemical biology, protein engineering, and computational design to create new therapeutic strategies? We are seeking a Research Associate to
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The role will engage in cutting-edge translational research that develops computational models for predicting outcomes in cardiac diseases. This includes a machine learning model to rule out heart