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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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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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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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Requirements Essential: • PhD (or near completion) in Chemical Engineering, Environmental Engineering, Sustainable Process Engineering, or a closely related field. • Demonstrated experience in techno
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an exciting opportunity to contribute to the ESRC Education Research Programme . The programme is committed to resetting the terms under which education research, policy and practice interact in the interest
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publication and contribution to conferences in the field of cognitive neuroscience, physical activity, data science, engineering, brain imaging or related fields. Expertise in analysing MRI and fMRI Brain
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to the set-up and conduct of a funded research project aiming to co-create a national weight management programme in Thailand. The duties of the post will involve coordinating and writing ethical approval
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candidate will work on an interdisciplinary Human Frontier Science Programme grant to unravel the functional ecology of heterotrophic protists, combining behavioural assays, ultrastructural and morphological
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this project as Knowledge Mobilisation lead and will be responsible for driving the strategy and delivery of this programme grant workstream. You will also support trial development and process evaluation
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About the Role Working as part of a multi-disciplinary team, you will provide health psychology support to the delivery of research activity for the NIHR-funded Programme Grant for Applied Research