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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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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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domestically for 1-3 weeks each year. Required Education and Experience: Appropriate PhD in environmental sciences and engineering, environmental chemistry, atmospheric sciences, chemistry, atmospheric chemistry
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: Appropriate PhD Required Knowledge, Skills, and Abilities: Expertise with cell biological methods and approaches Extensive expertise with laboratory animals is not required, but a strong desire to learn and
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Salary: Compensation will be commensurate based on the selected hire's education and experience. Required Education and Experience: Appropriate PhD in neuroethology, behavioral neuroscience, or related
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Education and Experience: Appropriate doctoral degree Preferred Education and Experience: PhD in Biology or related field Five years experience in conducting research in the areas of animal behavior and/or
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Salary: Compensation will be commensurate to the selected hire’s experience. Other Requirements or Other Factors: Proficiency in SPANISH is required Required Education: PhD or Appropriate doctoral degree
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for species detection and identification. Apply biodiversity and movement statistics (including hierarchical modeling) to analyze data. Functional Area 3: Disseminate Research Results Percent Effort: 30% Job
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/dysfunction. Laboratory bench and computer work will be required. What you need to know Salary: Compensation will be commensurate to selected hire’s experience. Required Education: PhD in a life or medical
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employment unless an approved medical or religious accommodation is in place. Required Education: Appropriate PHD Required Knowledge, Skills, and Abilities: Ability to multi-task and work cooperatively with