583 computational-physics "https:" "https:" "https:" "https:" "IFM" "IFM" PhD research jobs
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Instructions To be considered, candidates should apply online at UF Careers website and attach the following materials: A research statement outlining the focus and future vision of your research program in one
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DEPARTMENT The Department of Electrical and Computer Engineering at UTEP (http://ece.utep.edu) offers Bachelor of Science (B.S.) and Master of Science (M.S.) degrees in Electrical Engineering and in Computer
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(james-byrne@uiowa.edu ). Salary is based on years of experience after obtaining the Ph.D. degree and is determined by the Graduate College (https://grad.uiowa.edu/postdocs/salary ). Applicants must be
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designed to support a PhD pathway in collaboration with the Institute of Computer Science at University of Bonn. Be part of change Your research focus Learning- and optimization-based methods for physics
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experiment at CERN. This position is based at the CERN site. The successful candidate will have a Ph.D. in physics, a strong computational background, and exceptional experience with simulation infrastructures
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is proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans, and paid time off. For more information about benefits, visit https://hr.uoregon.edu
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 8 days ago
, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling every nuance of how humans and animals look and move. We develop
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privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https
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September 2025. The Research Assistant Professor will be expected to conduct, and obtain full funding for a program of research focused on executive functioning and developmental neuroscience in clinical
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, towards future colliders. Cutting-edge machine learning developments for classical and quantum computational platforms are pursued in the group to benefit particle physics and beyond. Experience Candidates