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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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faculty, clinicians, and hospital leadership to support service goals. · Identify opportunities for process improvement and operational excellence. · Model professionalism, accountability, teamwork, and
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design rules to understand their chemistry and physics. You will combine coarse-grained and atomistic simulations with surrogate models and experimental insights (with Dr. Baumgartner) to understand
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environment focused on physics‑informed AI tools for materials design and characterization. In a collaborative project with industrial partners, you will work on developing physics‑informed models for heat
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and monitoring of model training. Integration of VLA models into robotics simulators. Finetuning of models. Other duties as assigned. Qualifications Minimum Bachelor's/Master's degree in
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for implementing computational models, simulations, and numerical experiments is desirable. Diversity Committed to equality and valuing diversity Application Process You will be required to upload a covering letter
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large‑scale global solar/stellar dynamo simulations capable of capturing both small‑scale and large‑scale dynamos in the same model with resolutions requiring at LUMI‑class resources. Perform model
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 1 month ago
Part-time Specialist Simulation Lab Position The School of Nursing at UT San Antonio has a part-time Specialist position in Center for Simulation Innovation (CSI) Lab. This position will be
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and FCT code. 2023.18225.ICDT and e DOI https://doi.org/10.54499/2023.18255.ICDT , funded by COMPETE 2030 by Portugal 2030, and by the European Union financial support from national funds/OE through
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prioritise RD as a mechanism for ecosystem resilience. The project will use Agent-Based Policy Modelling (ABPM) to simulate how actors such as land managers, farmers, local authorities, and conservation