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Field
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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candidates in all areas of Biomedical Engineering are encouraged to apply, with strategic interest in: Bioelectronics Brain-Computer Interfaces Biomaterials and Biomanufacturing Organoids and Organ-on-a-Chip
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and/or BMS graduate training program. Gladstone investigators direct world-class research programs that span neurological and cardiovascular diseases, cancer, immunology, virology and bioinformatics
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core facilities (including high-performance computing, cryo-EM, genomics, and metabolomics), and a culture of fearless, cross-disciplinary inquiry. The School of Life Sciences invites applications
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computational approaches, on topics that complement and synergise with existing strengths in the Division. You will hold a PhD and understand the value of developing your highly original, independent line
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to establish a distinguished research programme aligned with the University's strategic research areas; Commit to delivering high-quality teaching and supervision to a diverse student population at both
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research project funding; Demonstrate the ability to establish a distinguished research programme aligned with the University's strategic research areas; Commit to delivering high-quality teaching and
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supports cutting-edge biotechnology in the areas of mass spectrometry method development and the development of new, bio-based materials. Information about the group can be found at https
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the following fields: 1. Computer Science and Data Science This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing
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of Molecular Biology (LMB), within a programme aimed at studying the neural circuit basis of behaviour. Specifically, to map the synaptic wiring diagram, or connectome, of whole brains, using machine learning