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controls within university buildings to ensure optimal performance of building automation systems across the campus portfolio. The successful candidate must ensure that the University is receiving the best
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buy-in around organizational goals and decisions, lead teams through change, measure and manage performance, address underperformance, and develop processes and policies designed to optimize
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advanced artificial intelligence / machine learning (AI/ML) solutions for fusion science and operations. Building and applying foundation models and surrogate models to speed analysis and optimize
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and identify improvement opportunities. Guarantee servers are available and functioning at optimal levels; monitor system performance and security; ensure all software installations, patches and
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-related Clinical Care (45%) Provides clinical and educational sports nutrition services to support the optimal performance and health of the student-athletes and athletic teams. Provides medical nutrition
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operations. Building and applying foundation models and surrogate models to speed analysis and optimize performance. Designing and maintaining digital twins of fusion devices, including autonomous control
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local Animal Welfare legislation and sound judgment how to balance optimal animal care, research goals, and regulatory compliance. • Must achieve ALAT certification within the first year of employment and
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or a related field, capable of optimizing systems and processes to deliver a seamless alumni volunteer experience, and creating strong relationships with senior-level volunteers and administrators, with
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the ability to perform advanced mouse work. -Optimally, the candidate has demonstrated experience with molecular biology and laboratory rodent handling and tissue culture. -Computational biology experience is
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Administration: Utilize scheduling and workload management software (currently SLURM) for job submission, resource allocation, and monitoring within an HPC environment. Design and optimize code for pre-processor