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groups and departments, the visiting scholars are hosted within one of our member research groups. USI will assure optimal collaboration with other relevant research groups and disciplines, depending
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assimilation, machine learning, and optimization techniques. Experience in student mentoring. Publications in leading journals within the field. Preferred Qualifications PhD in Environmental Modeling. More than
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description MISSION
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and compare/interpret field data Collaborate with mechanical design and manufacturing teams to develop solutions that optimize performance while ensuring manufacturability Summarize key findings
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analytics skills among working professionals, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling. This degree prepares
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, (Molecular Focus) Posting Number req25468 Department AZ Veterinary Diagnostic Lab Department Website Link https://azvdl.arizona.edu/ Location To Be Determined Address 2831 N Freeway, Tucson, AZ 85705 USA
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Posting Number req25481 Department AZ Veterinary Diagnostic Lab Department Website Link https://azvdl.arizona.edu/ Location To Be Determined Address 2831 N Freeway, Tucson, AZ 85705 USA Position Highlights
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proteins and branching enzymes. The aim of the PhD will be to explore the diversity of interaction complexes between synthases and branching enzymes in various photosynthetic organisms and to evaluate
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areas related to systems engineering, including operations research, optimization, reliability and quality, and applications in smart manufacturing. We are particularly interested in individuals who
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methylome sequencing, custom NGS panels, liquid biopsy, and spatial transcriptomics. The primary focus of this position is to help optimize and complete research tasks related to the computational analysis