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Field
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years based on the performance and career plan of the hired person. Responsibilities • Simulate and evaluate urban biodiversity • Conduct field surveys and model calibration • Quantify landscape
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optical modelling and/or Monte Carlo simulations of light transport in tissue. Experience analysing complex physiological or biomedical datasets. Evidence of publication in peer-reviewed journals and
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physics, non-Hermitian theory, and nonreciprocal thermal photonics. The role will focus on the theoretical modelling, numerical simulation, and experimental analysis of diffusive and thermophotonic systems
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 1 hour ago
artificial intelligence (AI) and statistical programming skills in R and/or SAS by implementing end-to-end machine learning pipelines, including data preprocessing, model training, cross-validation, simulation
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and experience in one or more open-source languages (e.g. Python, R). Prior experience/knowledge of computational psychiatry methods for modelling cognitive tasks. Experience in the use of neuroimaging
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system model new module integration, scenario simulations, and prognostics analyses Physics-informed deep learning/hybrid modeling/reasoning AI algorithm development and optimization Job Requirements: A
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motivated Postdoctoral Associate to join a research project focused on multiphysics simulations and computational modeling. The successful candidate will develop and perform finite element-based simulations
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molecular dynamics simulations to model structural, thermodynamic, and electronic properties. - Contribute to open-source software, benchmarks, and datasets that advance the global materials community
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, Applied Mathematics, Economics, or a related field. Expertise in statistical or mathematical modelling, causal inference, econometrics, simulation, machine learning, or spatiotemporal analysis. Strong
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control, reproducible experiments, 3D model management, documentation). • Support broader project goals as needed (e.g., dataset curation, method benchmarking, cross-validation of simulations with actual