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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
Laboratory (CSRL) at Bolin Creek Center. Position Summary Prof. Tanya Garcia is currently recruiting a highly motivated postdoctoral researcher with a fresh PhD in Statistics/Biostatistics to join her lab in
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Statistics, NSF, and the Federal Reserve Board. This is a very specialized task involving advanced research and coding knowledge. A postdoctoral scholar must hold a PhD or equivalent degree. Scholar will
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have a Ph.D in Chemistry with a specialization in Analytical Chemistry, chromatography and/or mass spectrometry, statistical evaluation of data and quantitative method validation, be qualified in
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Requirements: Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics, physics) awarded within the last 5 years. Strong
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the department on new potential collaborations. Position Requirements: Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics
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of Medicine) and Steve Gorelick (Doerr School of Sustainability), and will work alongside a team with expertise in flood modeling and collaborators in IIT Bombay. We encourage recent graduates with a PhD or
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requirements: • PhD diploma in related field • Excellent skills in statistical analysis • Very good knowledge of English; spoken German is a benefit • Excellent scientific and writing skills Who we are: You will
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, ag professionals, and federal/state/local agencies. Required Qualifications: PhD in Civil/Environmental/Agricultural/BioSystems Engineering, Applied Math/Statistics, or related field Prior work at the
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OSUCCC – James, contributing to cross-disciplinary projects and proteomics expertise. Education and Experience Requirements: PhD in biochemistry, analytical chemistry, bioinformatics, or a related field. 5
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on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to advance the use of mathematical and statistical models