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in physics, mathematics, applied mathematics, computer science, quantum computing, machine learning Strong interest in the development of theoretical or computational methods for optimization methods
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rolling basis. Description The Department of Energy (DOE) Science, Technology, and Policy (STP) Program provides an opportunity for students, postgraduates, and faculty to engage in programs, projects
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Übersicht Doctoral Student in Computational Chemistry 100%, Zurich, fixed-term Drucken Prof. Dr. Sereina Riniker's group for Computational Chemistry at the Institute of Molecular Physical Science
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, Ph.D., or equivalent) degree within five years of the intended start date in a science, technology, engineering or mathematics (STEM) discipline or a field that supports the DOE operations mission
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(B.A., B.S. or equivalent) or graduate (M.S., DVM, Ph.D., or equivalent) degree within five years of the intended start date in a science, technology, engineering or mathematics (STEM) discipline or a
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near completion) in Computer Science, Software Engineering, Informatics, Information Systems, or a closely related discipline. A strong theoretical and practical foundation in machine learning is
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modulators for medical applications (computer tomography/cancer treatment) and accelerators (CERN). For the design and optimisation of the various power electronic systems, we develop advanced multi
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, Bachelor's Degree, Master's Degree, or Doctoral Degree. Discipline(s): Business ( 11 ) Chemistry and Materials Sciences ( 12 ) Communications and Graphics Design ( 6 ) Computer, Information, and Data
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applications (computer tomography/cancer treatment) and accelerators (CERN). For the design and optimisation of the various power electronic systems, we develop advanced multi-physics models/digital twins
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international equivalent) in a highly quantitative discipline like Biomedical Engineering, Computer Science, Mathematics, or Physics Meet all mandatory MSCA mobility rules - applicants must not have lived