68 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"FEMTO-ST" positions at Imperial College London
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of outstanding quality. A clear plan to build or further develop an internationally leading research programme that enhances the Department’s profile. Commitment to high-quality teaching and supervision
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, biomechanics, or airflow/fluid dynamics Knowledge and hands-on experience with computational modelling techniques in healthcare or biomedical sciences, and proficiency in programming languages such as Python
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of computational modelling techniques in healthcare or biomedical sciences, and in programming languages such as Python or Julia. Experience working with medical imaging in a research environment and proficiency in
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% of their time undertaking a special programme of training offered by our training partner. The actual working times/days will be agreed according to Staff Compliance business needs. The role is fully aligned
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a closely related field, or equivalent. A strong research record with publications of outstanding quality. A clear plan to build or further develop an internationally leading research programme that
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evidence services including the development of a programme of health and information literacy training; evidence search services, current awareness and knowledge mobilisation services. They will use user
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specialty areas and designed for individuals with the potential to become leaders in academic medicine with a commitment to conducting research at Imperial College London. Research To develop, plan and carry
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partners, food organisations and diverse end-users in a wide-ranging and ambitious programme of work that provides a clear pipeline from fundamental research to commercialisation. The overarching vision
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leadership and more. Our new strategy, Science for Humanity, is unashamedly ambitious in seeking to maximise Imperial's potential as a force for good in the world. Our Imperial Class of 2030 programme will
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development and programming and practical applications of machine learning in clinical data analysis will be highly desirable. The candidate will be supported in their career development PhD in cardiovascular