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language models (LLMs) and vision-language models (VLMs), you will investigate AI behavior, develop innovative evaluation methods, and translate scientific insights into real-world applications that improve
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Deploy detailed models of coupled ocean / sea ice processes, probe their turbulent interactions, compare with observations, and design parameterizations for global climate models. Job description
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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underlying juvenile dermatomyositis and related pediatric conditions. Through the integration of advanced molecular techniques, patient-derived samples, and functional muscle modeling, you will help develop
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combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal analysis
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of dissipation in magnonic systems. Develop theoretical models to describe and optimize the control of magnon dissipation via feedback. Collaborate with the experimental team to validate these models and propose
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 15 days ago
methods for microstructure generation, and uncertainty quantification approaches for model calibration and validation. Successful applicants should have a PhD in an appropriate field of study and have
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digital media, you will lead core research on reading and writing development using longitudinal school testing, experimental paradigms, and statistical modeling. You Will Have: A PhD (or near completion
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analyse electrochemical free-energy landscapes and connect elementary-step energetics to catalytic performance apply machine-learning interatomic potentials and microkinetic models where appropriate
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develop the urgently needed system understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal management