148 computer-science-programming-languages-"UCL"-"UCL" positions at Imperial College London
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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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Stochastic Processes and Time Series Programme (NeST: https://nest-programme.ac.uk ), although we welcome applications across the breadth of Statistical Science. These posts provide an excellent opportunity
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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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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
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Technician. You will play a pivotal role in the lab by providing a range of technical support to our research programme. You will work in close collaboration with the PI and other members of the lab. Your key
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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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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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: Programming (C++, Python, etc) Machine Learning / AI Computer Vision Medical Image Analysis Prior experience in medical applications and medical data processing will be an advantage. The opportunity to continue
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an undergraduate or postgraduate certificate or programme in a relevant degree program (such as psychology, mental health, public health, healthcare, health sciences, neuroscience) and have not completed
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of Vienna, and RIKEN in Japan. You will be managing the overarching strategic, outreach and administrative support for the research programme, working closely with the investigators from across the programme