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-class or 2:1 (or international equivalent) Master’s degree in Computer Science, Robotics, Mechatronics or Electronic/Electrical Engineering, or a related field. • Knowledge of machine learning/deep
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relevant bio/health-related or computer-science subject Knowledge of neuroimaging, machine learning, and/or neurodevelopment Proven record of ability to conduct high quality research in relevant health
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this role, we are looking for candidates to have the following skills and experience: Essential criteria Undergraduate degree (at least second class honours) in relevant bio/health-related or computer-science
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invite applications for a limited number of fully funded PhD studentships at the School of Physics, Engineering and Computer Science of the University of Hertfordshire. This is an exciting opportunity
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depressive symptoms in young people in higher education (YPHE) using ubiquitous smartphone data. Project Description: Mental health challenges, particularly anxiety and depression, are highly prevalent among
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NERC. Person Specification We seek an enthusiastic individual with a degree in geoscience, physical sciences, or computer science. Numerical literacy and experience with coding tools (Matlab or Python
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Primary Supervisor -Prof Michal Mackiewicz Scientific background Marine litter is a key threat to the oceans health and the livelihoods. Hence, new scalable automated methods to collect and analyse
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work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an
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metabolites. These molecules will be characterized chemically and biologically, with the aim of understanding how these molecules impact human health. This multidisciplinary project will be based in
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, and energy security via offshore wind generation. Balancing these uses while preserving biodiversity and protecting marine ecosystem health is increasingly challenging. As human pressures and climate