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real-time data analysis and interpretation code. Build a connection between experimental data, analytical solution and Monte Carlo X-ray scattering simulations. In collaboration with ALS Photon Science
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with all elements of a multi-level research network, including attending Disease Team Committees (DTCs) meetings, interacting with sponsoring agencies including National Cancer Institute, and compliance
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for a postdoctoral research position focused on the intersection of geography and public policy analysis. Successful candidates will have research experience in quantitative geography, geographic
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thermodynamics Design and implement machine learning models for data collection, reduction, analysis, and visualization. Work creatively, independently, and productively. Work as a member of a multidisciplinary
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supervision of Prof. Robin Erbacher, and is expected to play a leading role within the endcap muon CSC and/or GEM detector subsystems, both on upgrades and operations. They will also work on CMS data analysis
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management and coding, machine learning AI, and familiarity with LSST data management image reduction and analysis tools. Familiarity with processing data at the DOE US Data Facility at SLAC National
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major role both in physics data analysis and in hardware/electronics work on the CMS Phase-2 muon detector upgrades. The selected candidate will likely need to travel to Geneva, Switzerland at various
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. Familiarity with MDDS and laboratory chemical requirements. Broad theoretical and practical knowledge of standard chemical methods. Demonstrated proficiency using a computer for word processing, data analysis
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waste Assisting with preparation of equipment for survival surgeries Assisting with vivo fluorescence and bioluminescence imaging Participating in weekly lab meetings Performing data collection, analysis
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responsible for maintaining communication with all elements of a multi-level research network, including attending Disease Team Committees (DTCs) meetings, interacting with sponsoring agencies including