97 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Nature Careers
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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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technologies that strengthen infrastructure and improve quality of life • Supercomputing, AI, machine learning, robotics, and human–machine interaction while examining ethics, equity, and privacy in emerging
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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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Associate Professor, Tenured Canada Impact+ Research Chair, Human Mobility and Wearable Technologies
diverse Faculties, Brock excels at providing exceptional experiential learning opportunities and highly rated student and campus life experiences. Our Geography Brock University’s main campus is situated
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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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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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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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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, 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