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PhD (or nearing completion) or possess an equivalent qualification/experience in a related field of study, which may include (but is not restricted to) mathematics, physics, computer science, biophysics
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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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of Engineering and Physical Sciences at HWU. The position is open in the context of a large research project aiming to develop a new generation of computational imaging algorithms intended to deliver
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the Department of Computer Science and Technology at the University of Cambridge. The position will be for 12 months from the 2nd February 2026 in the first instance. Project research topics must fall under
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; requirements that are often conflicting. The SUSTAIN programme grant (www.sustain-pg.org ) will address this challenge using water, lithium and special polymer fabrics to build the batteries. Compared
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-readiness and translational cancer research We welcome candidates from diverse academic and professional backgrounds including health sciences, data science, biomedical informatics, and computational fields
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, spanning weeks and months. The programme concludes with a clinical proof of concept research study in a patient cohort, with the technology being deployed in approximately 30 homes across Newcastle and
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opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of
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: equity, diversity and inclusion, and open science • Be committed to patient-centred research Hold a PhD in epidemiology, health informatics, medical statistics, or a related discipline • Have experience
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of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial