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dynamics, kinematics, acoustics/vibrations, fluid–structure interaction, control, or other mechanics-driven domains. Experience with applied computational methods and machine-learning–based modeling
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materials. Experience with the use of machine learning or artificial intelligence is desirable but not required. This search is part of UC Davis’ commitment to hiring leading research faculty with a strong
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that challenge prevailing assumptions, employ cutting-edge technologies, or integrate machine learning with neurobiological data are especially welcomed. Projects focusing primarily on animal models with
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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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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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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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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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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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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