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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
and soft matter physics. The PDRA will be writing computer code, running computer simulations and analyzing the results. Subsequently, they will write and publish articles based on the research findings
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Department Department of Physics Employee Group Postdoctoral Research Fellow Employment Status Full-Time Position Type 12 month Position Classification Postdoctoral Research Fellow Position Begin Date 02
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Department Department of Physics Employee Group Postdoctoral Research Fellow Employment Status Full-Time Position Type 12 month Position Classification Postdoctoral Research Fellow Position Begin Date 02
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emerging quantum technologies. Candidates must possess a PhD in Computer Science, Informatics, Cybersecurity, Electrical and Computer Engineering, Mathematics, Physics, or a closely related discipline
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subsequent PhD in computer science (or a related field). Rich experience in devising machine learning models, methods, and algorithms for computer vision, image processing, imaging, and/or physics
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advancing the state of knowledge in their chosen research area. Criteria of the candidate: PhD in: Computer Science, Artificial Intelligence, Data Science or related fields (Computational Physics
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– WissZeitVG). The position offers the chance to obtain further academic qualification (usually PhD / habilitation thesis). The Computer Science SFB/Transregio 248 lays the scientific foundations for cyber
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the curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
population research. Position Summary A Postdoctoral Research Associate position is immediately open in the Neuroinformatics lab (dayanlab.web.unc.edu) at the Biomedical Research Imaging Center
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in the National Center for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of