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Field
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designing and implementing advanced control algorithms to coordinate multiple energy sources including battery energy storage systems (BESS), solar PV, and diesel generators, and dynamically assign grid
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, and algorithm design for inferring conclusions from multiple sources of information. Uncertainty quantification and propagation is vitally important such autonomous workflows, as is the development
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locally within each join or limb. Moreover, since a reflex often involves coordination between multiple joints, a distributed compute solution is required. In this PhD, you will design distributed control
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multiple energy sources including battery energy storage systems (BESS), solar PV, and diesel generators, and dynamically interacting with building management system to shed signficant loads under varying
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
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: 87346BR The Research Data Analyst will work under the direction of Co-Directors of the Center for Biosignal Research (CBR) and report directly to the CBR Scientific Program Manager. The CBR at UCSF focuses
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Engineering University invites applications for multiple full-time open-rank positions in areas of Quantum Information and Quantum Computing. These include postdocs, tenure-track positions, tenured positions
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research assistant to contricute to program and implement a quantum register for the execution of quantum algorithms based on NV centers. The focus is on hardware-oriented software development, particularly
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long-term, scalable solutions. Critical thinker with proven ability to manage multiple priorities concurrently and successfully. Demonstrated knowledge of multiple computing languages (C/C++, Python
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Sedlazeck Lab is seeking a highly motivated Staff Scientist with strong computational and algorithmic expertise to lead and support cutting-edge