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Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative AI, or active learning for materials applications. Integration of theory and experiment: Using computation and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
for dialysis, including development, fabrication, and optimization of dialysis testing systems. The postdoctoral researcher will work under the guidance of Professors Theo Dingemans (polymer chemist, Applied
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primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as
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, computer science, and social psychology Your Profile: Completed master`s degree followed by a doctorate in psychology, cognitive science or in a similar field of study Research experience in the areas of crowds
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the importance of this role in our research program. Essential job function: Design and implement research protocols; design safety procedures; adapt new procedures, methods or instrumentation related to research
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Project Overview The Antimicrobial Resistance Interdisciplinary Research Group (AMR IRG) is a unique translational research and entrepreneurship program aimed at solving the growing threat
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Full time, 2 years fixed term, located on the Camperdown Campus at the School of Chemistry Opportunity to drive a high-impact research program on engineering carbon fixation in cyanobacteria Base
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homes, offices, industrial sites and shopping malls) and alignment of such spatial context with procedural models of task execution. There will be a special focus on optimizing the computational load