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programming skills are essential, along with a track record of published papers and strong self-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or
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-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or applied mathematics. The position is for one year with renewal for a second year pending
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for Geographic Information and Analysis (NCGIA). Qualifications Basic qualifications (required at time of application) Applicants must have completed all requirements for a PhD Degree in Geography or a related
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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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-SEM, TEM etc. and data interpretation and analysis. Perform in-situ/operando spectroscopic characterization such as surface-enhanced in-situ Raman and ambient-pressure XPS (AP-XPS). Fabricate catalyst
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for a PhD Degree in Oceanography / Marine Science / Environmental Fluid Mechanics, or a related discipline except the dissertation at the time of application Additional qualifications (required at time of
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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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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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teaching. Additional information about the Department may be found at http://www.math.ucdavis.edu . Applications will be accepted until the position is filled. To guarantee full consideration
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on mitigating systematic errors in dark energy science from the NSF-DOE Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). This includes full access to LSST data, participation in technical and