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interactions, supporting the design of next-generation antimicrobial materials. The role will involve performing molecular dynamics simulations and computational modelling to investigate interactions between
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: Power Systems - Cv Work Objectives: The candidate’s work will encompass scientific and technological research activities, including simulation, experimental validation, as well as the dissemination and
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 17 minutes 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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simulated and measured results to assess quantities of interest. Interface with world-class exascale computing clusters. Work with a dynamic team of researchers, developers, experimentalists, and model
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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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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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analyses. The work will involve network analysis, computational modeling, and simulation of control strategies for healthcare‑associated infections. Candidate profile: Applicants should hold a PhD in network
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of Environmental Engineering, ETH Zürich and matriculate in ETH Zürich. The research is related to development of experimental and modeling techniques to identify emission sources, simulate the airborne transport
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systems. These models will be part of a multicellular modelling and simulation framework being developed as part of the Australian Research Council's (ARC) Discovery Project "Bridging biological boundaries