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scientists to enable cutting-edge CFD modeling & simulations on the next generation supercomputing architectures. Position Requirements Ph.D. in mechanical/aerospace engineering, applied mathematics, chemical
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scientists to run the simulations at-scale using both current large clusters and the next generation supercomputing architectures. Work to consistently meet priorities and deadlines set by the research sponsor
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imagery Engineer advanced architectural components and workflows for efficient and effective foundation model training and fine-tuning Devise data curation and balancing schemes Rigorously assess model
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30082BR Civil/Environ/Arch Engineering Position Overview The Department of Civil, Environmental and Architectural Engineering at the University of Kansas invites applications for multiple full-time
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Stanford’s Department of Computer Science and the Data Science team at Stanford Health Care. Our research spans both core methodological advancements (e.g., developing novel ML architectures and evaluation
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and/or vision science Experience with Javascript, development of web apps and database architecture is a plus but not required Desire to work in a fast paced, collaborative team-science environment
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aspects of life. We work in an office-based model, with the primary workplace located at the Otaniemi Campus in Espoo. Life on the revitalized campus is vibrant, featuring stunning architecture, tranquil
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sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis
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Bachelor’s or Master’s degree with relevant background and knowledge in civil engineering, mechanical engineering, architecture, computer engineering, or a related discipline. 2. Proficiency with 3D BIM
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familiarity with DMS and DERMS functionalities and architectures; evaluate and enhance operational schemes under high DER penetration. Model microgrids in distribution networks including dynamic and steady