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to the diagnosis, treatment, and/or fundamental understanding of human disease. Particular research areas of interest include the development and application of machine learning and artificial intelligence methods
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biology • Multi-omics data integration and analysis • Pharmacogenomics and computational drug discovery • Pharmacogenomics and precision medicine • AI and machine learning applications in biomedical
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, reliability, model-based AI, machine learning, and semantic or task-driven methods, within the group’s established research agenda. About the division and department At the Department of Electrical Engineering
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high-resolution mass spectrometry, in vitro pharmacological characterisation of new psychoactive substances, as well as metabolomics and machine learning. As a PhD student, you devote most of your time
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PhD or equivalent relevant experience in computer science, machine learning, medical imaging, biomedical engineering or a related discipline. You will have strong Python/PyTorch skills, experience with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
healthcare professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly
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identify the cells, cellular states, and biological programs through which genetic variation influences disease. Your work will sit at the intersection of statistical genetics, machine learning, and
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and machine learning methodology to help deal with key challenges in developing such models in large-scale observational electronic healthcare record data. These models will be applied to important real
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. — Excellent communication skills and a user-centred approach. The following will be particularly valued — Experience in analysis using machine learning or artificial intelligence applied to biomedical images
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discovery through public and Novartis-internal datasets. We are looking for candidates with A PhD in machine learning, computer science, computational biology, or a closely related field (completed or near