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Field
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at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models of potentials that appear in Hamiltonians for time-dependent quantum systems. The postdoc
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encompasses various in silico modeling techniques to cover the multiple spatial scales, i.e. from molecular detailed to multicellular high-level regulatory networks, up to tissue level finite element models
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opportunities to collaborate, take part in network events and undertake research placements within this project. You will have a PhD in Physical Sciences or a closely related field, and you will have a background
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remain grounded in construction logic, code compliance, and system coordination across HVAC, water, electrical, and safety domains. This position is ideal for someone who wants to work in an academic
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(social) network. Additional information If you would like more information about this vacancy or the selection procedure, please contact Dr. Peyman Taheri (p.taheri@tudelft.nl ). Application procedure
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opportunities to collaborate, take part in network events and undertake research placements within this project. You will have a PhD in Physical Sciences or a closely related field, and you will have a background
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developing economies. We seek a candidate with expertise in both empirical and theoretical economics, with good coding skills. The role will involve designing surveys, working with existing datasets, and
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methods related to tensor network states (e.g. TD-DMRG, MCTDH) to simulate correlated attosecond electron dynamics in molecules. Of particular interest are candidates who are interested in research in one
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to astronomical tables. This new platform will provide the scholarly community with access to the tools used to produce EIDA's results, and the release of the source code will facilitate the further development
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-DIGITALEMERGING)" with the functions of junior research staff of group A, subgroup A1. Specific Development of distributed fibre sensors compatible with telecommunications networks. An important part of the work