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to establish and maintain positive and productive working relationships Preferred Qualifications Epic Specialty Clinical Applications certification or equivalent experience in the following: Optime, Anesthesia
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dynamic level-of-detail switching may ensure computationally tractable on-board processing, while sensor cascades shall be optimized for varying conditions including night or convective weather. The project
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, because the patient becomes a source of ionizing radiation during surgery, this technique raises important radioprotection concerns that must be addressed in optimizing the clinical protocol. Monte Carlo
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization
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structures, access to space, multidisciplinary design and concurrent engineering, uncertainty treatment and optimisation, machine learning. (https://www.strath.ac.uk/ ) Task description for your Individual
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dimensionality reduction * development of optimization algorithms and numerical modeling procedures * development of simulation models using commercial packages (CST, ADS, HFSS, etc.) * writing technical reports
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-hardware Your Profile: Master and subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development
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optimization and execution of UC Davis Health strategic objectives. Establishes objectives and work plans, and delegates assignments to subordinate managers. Responsible for managing, preparing, administering
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at the frontline of the rapid developing field of spatial omics. Opportunities for professional development and career advancement. A collaborative work environment with numerous partners. Access to state-of-the-art
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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