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from the ATLAS experiment. These measurements improve the understanding of perturbative QCD in the Standard Model, are sensitive to the proton PDFs, and constitute a valuable input for improving
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computational modelling the primary tool for their safety analysis. The challenge is to develop a methodology that is both scientifically rigorous and practical for safety and licensing efforts. Current transient
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Healthcare Monitoring We welcome applications from those with expertise in or across these disciplines: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale
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Description We are hiring a research assistant for the EU-funded SafeNet project to explore forest biodiversity solutions. Tasks include data collection, documentation, and modeling preparation. Position is
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Engineer to conduct research on air traffic management (ATM) algorithms and
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models for omics data development and documentation of scalable benchmarks and/or pipelines for training interpretable models application and validation of the approaches on (single-cell) data from
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Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP) | Paris La Defense, le de France | France | about 2 months ago
a postdoctoral researcher to work full-time on the DiscoReel project. The postdoc will work on developing machine and deep learning methods for epidemic modeling, integrating them with mechanistic
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-generation humanized models for studying peripheral neuroimmunity in Parkinson’s disease The Laboratories for Gut-Immune-Brain Axis Research (GIBA, Prof. Seppe De Schepper) and the Microglia and Inflammation
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, modeling and Remote-sensing to Transform carbon budgets, CLARiTy’ (https://www.schmidtsciences.org/vicc/) will reduce the persistently high land flux uncertainties in GCB by an order of magnitude. To achieve
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improving and extending existing modeling frameworks such as the Large Basin Runoff Model (LBRM) and data-driven Artificial Intelligence (AI) approaches, including Long Short-Term Memory (LSTM) networks and