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simulations); developing and maintaining tools for data processing, visualisation of results and automation of computational experiments; optimising code performance and supporting the integration of models
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 3 hours ago
Assistant/Associate/Professor/Clinical and Program Director of the Center for Simulation Innovation (CSI) The School of Nursing at UT San Antonio invites doctoral prepared nurses to apply for a
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immunology. Job Duties Develop and analyze mathematical models (primarily ODEs, but also PDEs and stochastic models) of viral replication and immune processes. Implement simulations and perform computational
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, interdisciplinary environment with access to state-of-the-art Earth system models, high-performance computing facilities, and expertise in ocean modelling, carbon cycle science, and climate interventions. LOCEAN
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science, clinical simulation, and critical care research. Project background Intensive care units are among the most cognitively demanding environments in medicine. Clinicians must rapidly integrate streams
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resource allocation and grant funding opportunities. Develop staffing and scheduling models to optimize utilization of simulation assets. Participate in institutional self-study reports, site visits, and
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biology approaches to simulate biological models at different time-scales in the context oft the development of the PhysiCell/PhysiBoSS modelling systems(Ponce-de-Leon et al., 2023). In particular, we
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₂, and magnetic Weyl semimetals). Work is computationally driven and focuses on linking quantum calculations to reduced, physics-aware spin models so that materials can be ranked and engineered for device
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is
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change and its linkage with climate change Develop and apply a machine learning emulation of dynamic global vegetation models to investigate land carbon fluxes Set up, run, and share simulations using