12 algorithm-development-"The-University-of-Edinburgh" Postdoctoral positions at University of California
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Skip to main content Recruit Home Open Recruitments Postdoc-UCSB Physics Dept. (Galaxy Evolution)/Casey Research Group (JPF02904) Postdoc-UCSB Physics Dept. (Galaxy Evolution)/Casey Research Group
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collaborate with research partners to develop and utilize novel characterization and diagnostic methods to identify critical performance and durability barriers for these electrochemical devices and develop
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systems Conduct data collection, cleaning, quality assurance, and validation activities Develop models to analyze costs and performance of wastewater technologies in Python or similar format. Participate in
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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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- to lay the groundwork for the scientific foundations of this emerging discipline, develop new methods and infrastructure, and train students, faculty and industrial partners to use data science in ways
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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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of Mathematics and the Halıcıoğlu Data Science Institute. HDSI is an academic unit at UC San Diego with a focused mission - to lay the groundwork for the scientific foundations of this emerging discipline, develop
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research activities, develop refereed publications, contribute to proposals for extramural funding, and present research findings at professional conferences. There will be opportunities for the candidate
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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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, particularly on measurements and searches using jet substructure and development of advanced techniques in particle tagging, including applications using machine learning, and are expected to take leading roles