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institution for the duration of the fellowship. Experience with AI-related research and/or innovation is an advantage. A strong background in statistics is required, as well as experience in atmospheric
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skills, especially in applied econometrics and statistical methods within health economics are essential as is the ability to work effectively independently and collaboratively. Diversity Committed
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the integration of variable renewables, & environmental issues. Experience in statistics & stastical analysis. Understanding of basic financial & economic principles. Experience in academic writing & publication
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, immunoblotting, and confocal microscopy is essential. • Proficiency in statistical software/programming knowledge, such as GraphPad, R, Python, MATLAB, etc., will be advantageous. • Experience in
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quantitative methods, surveys, interviews, and focus groups. Analyze data using appropriate statistical or thematic analysis methods. · Grant Writing & Funding: Assist with the preparation of grant proposals and
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background in statistics is required, as well as experience in atmospheric dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages. Experience with “traditional” climate
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capabilities. Experimental design, laboratory execution, data analysis, and statistical quality control. Required Education PhD Degree in Biochemistry, Molecular Biology, Molecular Genetics, or closely related
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crime statistics can be viewed here . Visit our WHY WORK HERE page to learn about the total rewards we offer. Job Number: 2502951 Official Job Title: Postdoctoral Associate Job Field : Post Doctoral
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accordance with the Title II Crime Awareness and Security Act a copy of our crime statistics can be viewed here . Visit our WHY WORK HERE page to learn about the total rewards we offer. Job Number
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
in epidemiology, biostatistics, computational biology, computer science, public health, or a related field * Experience in epidemiology, statistics, or other quantitative field * Experience in