160 computer-science-programming-languages-"FEMTO-ST"-"FEMTO-ST" positions at Imperial College London
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Nonlinear Science, especially in Plasma Dynamics (PD) • A broad and strong background in the Derivation, Analysis and Computational Simulation of Mathematical Models in Nonlinear Science, especially in Lie
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and numeracy Be computer literate, (e.g. Microsoft Word, Excel, Outlook) and experience of a computerised diary/booking system (ideally Kx) required Have excellent interpersonal and communication skills
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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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in relevant and refereed journals. • Knowledge of some combination of computer languages including but not limited to Python, R, PyOMO, Julia. • The opportunity to continue your career at a world
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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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programme on Fundamentals and Applications of Doped Organic Semiconductors (FADOS). The successful candidate will join a cohort of 17 Doctoral students scattered among 16 research groups in Europe and the UK
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with the EPSRC Network Stochastic Processes and Time Series Programme (NeST: https://nest-programme.ac.uk ), although we welcome applications across the breadth of Statistical Science. These posts
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expertise in at least a few from the following areas: Programming (C++, Python, etc) Machine Learning / AI Computer Vision Medical Image Analysis Prior experience in medical applications and medical data
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Fixed Term Maternity Cover to 30 November 2026 Are you passionate about helping organisations to anticipate, own and mitigate risk? Do you resonate with our mission to use Science for Humanity
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translational research programme aiming to improve early diagnosis and treatment in mood disorders. Collaboration within a multidisciplinary team involving psychiatry, data science, and NHS services. Involvement