11 computational-physics-phd Postdoctoral positions at University of California, Merced
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chemistry or physics, or related area. Preferred qualifications The ideal candidate has experience running electronic structure calculations and has expertise with a variety of computational approaches
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, as well as parallel and distributed computing. Additionally, the Postdoctoral Scholar will collaborate closely with the PI to produce research articles aimed at disseminating the findings obtained from
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filled. Position description The Rube Lab at University of California, Merced is looking for an ambitious Postdoctoral Scholar to carry out cutting-edge projects at the interface of computational and
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excellent oral and written communication skills are required. Preferred qualifications The ideal candidate has experience in developing computational methods in the fields of theoretical chemistry/physics
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successfully are desirable. Qualifications Basic qualifications Applicants must have obtained a Ph.D. in Biomedical Engineering, Electrical Engineering, Physics, or related field prior to starting the position
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collaborate with project teams. Qualifications Basic qualifications • A Ph.D. in a relevant field (e.g., physical sciences, environmental science, computer science, or engineering) at the time of appointment
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working on this and related projects. Qualifications Basic qualifications The applicant applying for the Postdoctoral Scholar must have a PhD degree in Mechanical Engineering. Excellent written and verbal
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approaches.” Qualifications Basic qualifications Open to applications who are up to four years post-PhD in Health/Public Policy in Public Health, or other related social, behavioral, or population science
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undergraduate students actively involved in the lab. Qualifications Basic qualifications The applicant applying for the postdoctoral Scholar must have a PhD degree in Electrical or Mechanical Engineering Must
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distributed computing, system software design and development for AI and digital twin applications, energy efficiency optimization, and contribute to innovative research aimed at improving food production