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Field
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, including hybrid simulations coupling machine learning with numerical methods, multiscale discretization, nonlocal closure modeling, structure preservation, multilevel and multifidelity machine learning
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focus on Italy and run in parallel with a PhD project focused on the Netherlands. Job description The postdoc, working under the close supervision of the PI, will be responsible for developing
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papers, lecture contributions, etc.) Active participation in academic self-governance, e.g., through co-supervision of Bachelor’s and Master’s theses Requirements – What you bring: Master’s or PhD degree
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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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students on data analysis and detector projects. 40% Instruction of introductory physics lecture section 25% Core reconstruction and simulation software and computing development 15% Construction
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oral and written English. Openness to learning Norwegian is a plus.What can we offer?- Active participation in a young and dynamic research group with a good working environment and a unique dataset
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to investigate the thermodynamic, dynamic, and thermal stability, as well as the catalytic properties of zeolites. Analyze the impact of external stress, phase transitions, and structural deformations on zeolite
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multidisciplinary team comprised of fellow postdoctoral appointees, experimentalists, and staff scientists, with computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML) expertise, with
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Exciting opportunity alert! A brand-new postdoctoral position is open in the dynamic lab of Romeo Ricci at the renowned IGBMC in Strasbourg, France! (www.igbmc.fr/en). The IGBMC is one of Europe's
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all areas of experimental condensed matter physics will be considered, particular emphasis will be placed on the dynamical studies of 2D materials and their functionalities. This postdoctoral position