68 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS"-"St" positions at University of California
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research into control theory of neural population dynamics. This position has the specific focus of developing ML methods to assess the feedback controllability of neural population dynamics recorded from
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work in the Energy Storage and Distributed Resources Division. You will support the research programs in the Electrochemistry Group aiming to develop next-generation batteries for use in electric
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scholar positions. The group plays leading roles in developing reconfigurable nanophotonic devices, MEMS-based instrumentation for precision control, and advanced nanophotonics theory and design. The
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position in the Fast Sensors R&D group at SCIPP. As a leading academic facility for R&D in sensor and detection system design, SCIPP has made major contributions to particle detector development. The group’s
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throughput assay development and laboratory automation systems (liquid handlers, robotic colony pickers etc.). Experience with sequencing technologies and microfluidics. Experience using fluorescence-activated
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removal. A primary focus will be on the development and analysis of downscaled Regional Oceanic Modeling System (ROMS) simulations of the Santa Barbara Channel; the qualified candidate will also have the
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mine to magnet. What You Will Do: Use and develop minerals and materials databases for computed and measured properties. Predict and control mineral reaction pathways using first-principles
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the group are encouraged to develop new data analysis ideas and methods. The successful candidate will also be heavily involved in our ongoing project to develop and build new, high-speed data acquisition