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learning, computer science, physics, statistics, mathematics or related field. Demonstrated experience designing and developing novel machine learning and/or computer vision methods for either computational
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Research Fellow - OSMOSIS research programme Apply online Job number SHMS00480 School / Service School of Health & Medical Sciences Department Nursing Location Myddelton Street Building Contract
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and delivery of this programme grant workstream. You will also support trial development and process evaluation activities for Rapid Eczema Trials. You will be expected to develop new concepts and ideas
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Criteria A doctoral degree, or close to effective completion, in a relevant topic Relevant experience in optimisation, evolutionary computation or machine learning Contributions to peer-reviewed written
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data acquisition and interpretation are highly desirable. This is a collaborative project between the School of Pharmacy, The School of Computer Science, Physics and Astronomy, the School of Life
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learning, computer science, physics, statistics, mathematics or related field. Demonstrated experience designing and developing novel machine learning and/or computer vision methods for either computational
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to improve people's health in developing countries by striving for excellence in research, healthcare, and training. Our research program spans basic scientific research, clinical studies, epidemiological
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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fixed-term contract if full-time (or longer part-time), with possibility of extension. Project Title “The mind as a sampler: Towards a standard model for cognitive science” What scientific question will
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engineering or a related discipline. Strong analytical, problem-solving, communication, and teamworking skills, along with experience in computational modelling are essential for the role. What we offer: - A