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for our multidisciplinary research focusing on transportation safety and mobility (http://umtri.umich.edu ). Established in 1965, we maintain the highest standards of excellence as we conduct research
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patients, canine patients, and mouse and organoid models -- offering a unique opportunity to identify conserved genomic features and accelerate biological insight. Duties include*: Prioritize and extract
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analysis of AI models, in particular attention mechanisms; 3) documented experience in research work on AI models with applications in the space sector or similar (previous cooperation with the European
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investigations of the Martian atmosphere and surface using data from the Emirates Mars Mission (EMM) “Hope” probe. The position contributes to ongoing research, data analysis, simulation efforts, and dissemination
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and time-varying performance through quantitative comparison with analytical modeling and full-wave simulation results. This position is part of the MetaTune Doctoral Network "Reconfigurability using
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. The research will investigate how phase distribution and flow velocities influence fluid–structure interaction (FSI) and will focus on developing novel sub-models for coupled CFD–FEM simulations. Your tasks
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Theoretical Quantum Many-body Physics and Quantum Sensing at Indiana University Bloomington Fields: Quantum many-body theory, AMO–condensed matter interfaces, advanced numerical simulations, quantum sensing
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
dynamics simulations of biomolecules in solution – using models of about 100 000 atoms – that provide a data set to train stochastic low-dimensional models (Langevin equations), based on diffusion on a
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of big surveys” funded by the ERC (grant agreement No. 951549). Project website: https://cordis.europa.eu/project/id/951549 The position will be filled in accordance with the law in force in Poland and in
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developing a cutting-edge Device-Aware Testing (DAT) platform for emerging memories such as STT-MRAMs and RRAMs. By integrating physical defect modeling directly into the test flow, POPCORN enhances outgoing