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digital solutions Practical programming skills, ideally in Python; experience in developing automation, interfaces, or data pipelines is an advantage Basic knowledge of data management, data modeling, and
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MINIONS and involves: (i) the development and integration of microstructural simulation and radiation–matter interaction models, and (ii) the application of these integrated models to retrospective and
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transmit those values and align to one another. These synchronic models of moral cognition will be complemented by diachronic models of how moral consensus emergence and expands over cultural evolutionary
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; (ii) Large Language Models (LLMs) and multimodal foundation models for cross-domain reasoning and knowledge integration; (iii) continuous learning and model adaptation in dynamic and evolving
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RAP opportunity at National Institute of Standards and Technology NIST Modeling Complex Microstructures Location Information Technology Laboratory, Applied and Computational Mathematics Division
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2026 (there is some flexibility) The Jozwik lab studies visuo-semantic cognition combining cognitive science, neuroscience, and computational modelling. The lab’s research has focused on probing specific
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mechanics and materials mechanics - Strong interest in multiscale and multiphysics modeling - Knowledge of numerical methods and finite element analysis - Interest in hybrid physics–data approaches and
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neuropsychiatric and cognitive co-morbidities. The lab uses preclinical model systems and translational approaches towards identifying disease and symptom-modifying therapeutics for Alzheimer’s Disease
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induced seismicity. Current models remain limited by the scarcity, heterogeneity, and noise of available data, as well as by incomplete knowledge of the subsurface. Physics-Informed Neural Networks (PINNs
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mathematics, physics, computer science, engineering, or a related quantitative field. Strong knowledge of differential equations and applied mathematical modeling. Proficiency in at least one scientific