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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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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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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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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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in the CBSC focused on ligand discovery, joining a team of dedicated computational researchers with diverse expertise ranging from structural bioinformatics to machine learning and AI. Your primary
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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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research program in their field, as well as teach at the undergraduate and graduate levels. More information about the Physics Department and the Center for Quantum Phenomena can be found at https
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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