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libraries for developing deep learning models. Familiarity with medical image such as MRI, CT, or volumetric ultrasound. Knowledge on common medical imaging data augmentation techniques for robust model
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expertise with game theory is a plus but not required. Ideally this person would have a Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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, we are looking for candidates who demonstrate proficiency in data collection, rigorous data analysis, and effective presentation/publication of research findings. Candidates with a Biology and
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machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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(CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education
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duties as assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in
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for candidates who demonstrate proficiency in data collection, rigorous data analysis, and effective presentation/publication of research findings. Candidates with a Biology and Biomedical Science related Master´s
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, molecular biology, genetics, and genomics, are all welcome to apply. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https
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of Biology at Texas A&M University is responsible for research and teaching within the vast disciplines of the biological sciences, from molecular cell biology to ecology and evolutionary biology. Our faculty