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Description One or possibly two postdoctoral positions to work on the theory of generative AI—particularly diffusion models and their generalizations—combining methods rooted in statistical physics and
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Research Infrastructure? No Offer Description The photovoltaics team of the GeePs (Group of Electrical Engineering, Paris) laboratory, is hiring a postdoctoral researcher with experience in numerical
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impacts and loads from blasts to the brain using numerical models. You will employ cutting-edge modelling and neurobiological techniques, behavioral animal tests, advanced analytical methods, while
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information, atomic theory and material modeling, with numerous partnerships both internationally and within Lund University. Being a doctoral student As a doctoral student, you are both admitted as a student
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position, the doctoral student should be able to independently develop numerical methods and codes, and collaborate with senior researchers/engineers and other students to solve problems. The position needs
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design. We aim to develop systems that maintain physical fidelity while bypassing the bottlenecks of expensive numerical methods and iterative experiments. By shortening the hypothesis-experiment-insight
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that maintain physical fidelity while bypassing the bottlenecks of expensive numerical methods and iterative experiments. By shortening the hypothesis-experiment-insight cycle, this work will drive rapid
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-scale maser devices, based on integrated circuits Perform experiments using steady-state microwave spectroscopy, as well as time-resolved spectroscopy methods Design and development of new experimental
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receive intense training on formulating their research question. The courses introduce methods of law and economics research, such as econometrics, game theory, experimental economics, and behavioural law
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methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project City