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implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene understanding, object
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in advanced bioimaging (including super-resolution, confocal and electron microscopy), genomics, proteomics, metabolomics, high-performance computing and field research. We promote research
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Criteria: Qualifications A good first degree in Physics or Mathematics. A PhD (or be close to submission) in Theoretical or Mathematical Physics or a related subject. Experience Experience in conducting high
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, or Computer Science. 2. A PhD (or be close to submission) in in Electronics Engineering, Electrical Engineering, Aerospace, or Computer Science or a related subject. Experience 3. Experience in conducting high
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biological sciences or chemistry. A PhD in molecular bioscience or biochemistry OR be close to be being awarded. Experience Experience in conducting high quality academic research. Demonstrable ability