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& Machine Learning • Clinical pathways and decision support for patients with acute chest pain • AutoPiX – Explainable Deep Learning for Multimodal and Longitudinal Imaging Biomarkers in Arthritis • Speaking
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science, preferably artificial intelligence, in research and teaching, and who complements and diversifies existing research strengths of the department. The new professor will teach in the Bachelor’s, Master's, and
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Immunology, Bioinformatics of Microbes and Microbiomes, Computational Pathology, Machine Learning/Deep Learning in Bioinformatic Data Analysis, Bioinformatics in Clinical Applications. The professorship will
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Science, Electrical and Computer Engineering, Mechanical Engineering, the Mind/Brain Institute, Neuroscience, Neurology and Otolaryngology, Philosophy, and the SNF Agora Institute. The expected academic base salary
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and other multimodal datasets Design and fine-tune machine learning and deep learning models to extract meaningful patterns and predict metastatic behavior Collaborate closely with experimentalists
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to advancing machine learning in biomedicine. The Program focuses on developing and applying cutting-edge AI approaches to address key challenges in molecular biology, clinical research, and translational
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looking for a dedicated PhD student to join our team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In
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program and facility. The successful candidate will add to this expertise and help build a new intersection of neuroscience and artificial intelligence. Modern machine learning and AI techniques now enable
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who will complement the strengths of existing biology faculty and whose study system is feasible for undergraduate research mentoring at the College of Charleston. The successful candidate will teach
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scientific machine learning, knowledge of atmospheric dynamics, new observations, and close connections with national meteorological services, as well as several leading weather forecasting centers and tech