415 machine-learning-"https:" "https:" "https:" Postdoctoral positions in United States
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Field
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searching for a computational postdoctoral research associate. The project is associated with atomistic plasma-surface interaction simulations, employing machine learned interatomic potentials (MLIPs
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Magnetics; Micro and Nano Structures; Sustainable Energy Systems, Power Electronics and Drives; Systems and Controls. To learn more about the Department of Electrical and Computer Engineering at
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Organization National Energy Technology Laboratory (NETL) Reference Code NETL-FRP How to Apply Please visit https://orise.orau.gov/netl/ to learn more about the program and the application process
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the Principal Investigator (Dr. Shengli Zou). Conduct advanced computational chemistry research with a focus on nanophotonics, quantum mechanics, and machine learning–assisted modeling and simulations. Prepare
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initiative, aiming to recruit 100 new tenure-system faculty to strengthen its research enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan
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machine learning and AI to improve inversion, interpretation, and autonomous monitoring. Publish peer-reviewed research and contribute to external funding proposals. Mentor graduate students, undergraduate
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integrated into a collaborative network of faculty mentors based on research alignment. To learn more about faculty research, candidates are encouraged to visit: https://ed.psu.edu/academics/departments
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. Bioinformatics analysis of data will include use of population genomics techniques, phylogenetics and machine-learning development. The successful candidate will be expected to write up results as manuscripts
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
focuses on developing innovative technologies to enable in vivo cell engineering (e.g., in vivo CAR T cells) for immunotherapies against cancer, autoimmune disorders, and infectious diseases. The successful
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Intelligence and Machine Learning. Join a team of scientists at the leading macromolecular crystallography beamlines and at the computing center and contribute to science projects at the interface between AI