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models, (d) experience in using high performance computing systems with multiple nodes and GPUs and (e) drought metrics. Familiarity with Texas water resources and management practices. Experience working
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technologies ranging from anatomic models and task trainers to screen-based simulation to full-body patient simulators and virtual reality surgical simulators. Provides technical support and A/V setup during
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generalization across tasks. Hierarchical and modular agent architectures to enable scalable coordination. Design and implement simulation environments, integrating real-world data and domain-specific constraints
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
Control simulator software to model simulator’s physiological response to instructor and/or scenario specifications Operate and maintain audio-visual and debriefing systems during simulations Reset rooms in
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model, including community selection criteria, readiness pathways, and training curricula. This position requires a blend of strategic thinking, project management, and community engagement expertise
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and Fission Energy and Science Directorate. The staff member will be responsible for conducting modeling and experimental studies to measure and predict the incident heat fluxes to plasma facing
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# and C++. A solid understanding of 3D modeling, animation, and physics simulations. Excellent problem-solving skills and the ability to troubleshoot technical issues. Strong communication and
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Qualifications: ● Multidisciplinary background (i.e. neuroscience, epidemiology, neurology, psychology, neuroimaging, genomics, aging) and a track record of working across multiple biomedical data domains (i.e
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maintenance of BI platforms to support strategic business objectives Oversee the integration of data from multiple sources, ensuring data accuracy, consistency, and reliability Manage the performance and
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physical laws, or an implicit form of extra data examples collected from physical simulations or their ML surrogates. In medical domains, patient data is typically distributed across multiple hospitals