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spatial scales from atmospheric chemistry, aerosol particles, air pollution, cloud particles, with radii of microns, to large-scale atmospheric waves, with length scales of thousands of kilometers. Topics
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field Preferred Education and Experience: Research experience in neuroethology, behavioral neuroscience, or a related field Ability to organize and analyze large data sets Ability to conduct population
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for this opportunity to join our team. What You Need to Know Salary: Compensation will be commensurate based on the selected candidate’s education and experience. Required Education and Experience: Appropriate PhD in
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cooperatively with others Expertise in Bayesian data modeling and computation Preferred Education and Experience: PhD in statistics or in related fields Experience in Bayesian computation with complex and big
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to selected hire’s experience. A cover letter and resume are strongly recommended. Qualifications Required Education and Experience PhD in Engineering, Science, or related field Required Knowledge, Skills, and
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populations genetics Experienced in conducting field work Experience designing and conducting behavioral experiments Required Knowledge, Skills, and Abilities: Ability to organize and analyze large data sets
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experience. Required Education and Experience: Appropriate PhD in statistics, biostatistics, or a related quantitative field Required Knowledge, Skills, and Abilities: Ability to multi-task and work
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: Appropriate PhD in a Science or Chemistry related field Required Knowledge, Skills, and Abilities: Ability to multi-task and work cooperatively with others. Contributes to team effort by working effectively
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for this opportunity to join our team. What You Need to Know Salary: Compensation will be commensurate based on the selected candidate’s education and experience. Required Education and Experience: PhD in Physics
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student needs, attaining and promoting the objectives of the Aggie Achieve Program. Your ambition for continued program improvement will be satisfied as you analyze program statistics using data and rubrics