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experience in computational systems modeling, simulation, and analytics; OR Master’s degree in computational biology, systems biology, bioinformatics, biological engineering, biophysics, or related field plus
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experiments, 3D model management, documentation). • Support broader project goals as needed (e.g., dataset curation, method benchmarking, cross-validation of simulations with actual measurements)
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—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive
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To make reliable predictions and analyses of air pollution, data assimilation methods, which integrate observational data into model simulation to update the model state and the underlying
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-transcriptional gene regulation; kidney biology or polycystic kidney disease; mouse genetics, transgenic mouse models, and animal phenotyping; mammalian cell culture, primary cells, or kidney organoids; or RNA
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Domaine Mathématiques, information scientifique, logiciel Contrat Post-doctorat Intitulé de l'offre Using generative AI to simulate chemically disordered nuclear materials at the atomic level H/F
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circuit designs. Proficiency in using HFSS or CST for modelling and simulation, and VNA for measurement is required. Ability to work independently and good communication skills are essential. To apply
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population-based scientists and clinicians who conduct research for the prevention, diagnosis, and treatment of cancer. A central collaborative research model encourages translation of basic laboratory
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modeling of free-electron-driven EUV nanophotonics. Working closely with experimentalists, the research fellow will lead the study of generating and manipulating EUV radiation on the nanoscale, towards
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-based simulations in VR/AR to facilitate the acquisition of complex physical tasks. This includes real-time feedback loops, biomechanical modeling, and adaptive training environments. Social & Soft Skill