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an extended campus in North Little Rock and offers as well as online courses. With the addition of the Arkansas Research and Education Optical Network (ARE-ON), students can engage in information exchange with
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ecology and management research, expertise in long-term ecological data analytics and modeling, and proficiency in statistical analysis are encouraged to apply. Preference will be given to candidates with
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, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Federal law prohibits the University from discriminating on these bases. Questions
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, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Federal law prohibits the University from discriminating on these bases. Questions
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data collection and analysis. Qualifications: Minimum Qualifications: PhD in Soil and Plant Nutrition, Plant Pathology or a related field. Strong background in data cleaning and processing from field
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experience working with animals (aquatic insects and fish) in lab conditions Basic lab skills in animal rearing, digestive physiology, and high-throughput experiments Additional Information: Salary Information
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separations Preferred Qualifications: The ideal candidate will have at least two years of prior postdoctoral and/or student supervision experiences Additional Information: Salary Information: $52,500 Required
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, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Federal law prohibits the University from discriminating on these bases. Questions
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, please contact Human Resources at 501-671-2219 or 479-502-9820. Department: Research Support Department's Website: Summary of Job Duties: Post doctoral Fellow is responsible for developing a computer
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-testing programs that support soil conservation and applied nutrient management research and extension programs. Specific responsibilities will include research data organization and statistical analysis