159 machine-learning-"https:" "https:" "https:" "https:" "https:" positions at Nature Careers
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, integrative systems biology, and machine learning. Our research is focused on analyses of data generated within the biological, biomedical, biotechnological and life sciences areas. The section has extended
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Job Description Project Description: Drug toxicity and resistance are the leading causes of therapeutic failures. The Chen Lab (https://www.stjude.org/research/labs/chen-lab-taosheng.html) studies
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, networks and communication systems, theory of computation, computing paradigms, AI and machine learning, numerical computing, and applied computing. In particular, beyond surveying individual fields and
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. Forbes also named it ‘best city in the U.S. for business and careers’ and the #10 most educated city in the U.S., and Southern Living named Durham ‘The South’s tastiest town’. To learn more, visit: http
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to the success of the whole institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a position as Research Associate / PostDoc (m/f
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targets to treat anhedonia. Proposals that challenge prevailing assumptions, employ cutting-edge technologies, or integrate machine learning with neurobiological data are especially welcomed. Projects
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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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, providing excellent opportunities for the prospective candidates to expand the professional network and acquire useful multidisciplinary skills and qualities. Please see our latest publication in Science
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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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dynamics, kinematics, acoustics/vibrations, fluid–structure interaction, control, or other mechanics-driven domains. Experience with applied computational methods and machine-learning–based modeling