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receives the care he or she deserves to achieve optimal outcomes. The research endeavors by faculty and investigators in the Section of General Surgery are just as wide and varied as the diseases they treat
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university stakeholders and external partners to support shared objectives and ensure cohesive campus-wide execution; Responsible for navigating and making complex, multi-faceted decisions involving numerous
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-ionizing radiation in healthcare while fostering a culture of innovation, research, and supporting optimal patient outcomes. Department Specific Job Scope The Health Physics Department is responsible
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ensures safe operations. Our activities are related primarily to development and application of numerical modelling, e.g. CFD, FEA, FSI, optimization, ML, but we are also involved in both experiments and
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their advisors with calibrated tools to evaluate the outcomes of competing management decisions, thereby optimizing productivity, nutritional efficiency, animal health, and sustainability, particularly by
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research questions. The ESA group is headed by Prof. Dr. Russell McKenna and generally focuses on the optimization and assessment of complex systems and infrastructures with an emphasis on environmentally
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are important in our work: geometrical optics, ray tracing, (numerical) PDEs, transport theory, nonlinear optimization, Lie operators and Hamiltonian systems. PhD vacancy As part of the research program Optical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts events. Primary Purpose of Organizational Unit Our mission is to improve
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
bargaining agreement. The salary range for this position is $27.83 - $59.15 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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prediction Integration of domain decomposition methods into the learning framework to enable efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation