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Qualifications Candidate must have a PhD in Computational Biology, Bioinformatics or related field. Prospective research associate must have a strong quantitative background, modelling skills and/or extensive
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Qualifications PhD in ecology or related field of study Experience working with entomological collections Experience working with large datasets Experience conducting public engagement events Strong record
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, with 165 affiliated faculty across colleges, schools, and departments at UT Austin. LLILAS offers programs that lead to BA, MA, and PhD degrees and a range of dual MA degree programs. The Nettie Lee
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and skills Ability to adhere to existing organizational structure in a research lab Relevant education and experience may be substituted as appropriate. Preferred Qualifications PhD in Biochemistry
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Qualifications PhD and four years of related experience. Experience conducting psychometric analyses using item response theory methodology. Experience working with REDCap. Salary Range $54,000 - $62,000 Working
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comfortably to changing work demands. Relevant education and experience may be substituted as appropriate. Preferred Qualifications PhD in a field related to Civics. More than required administrative and/or
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demonstrated excellence in teaching. Qualifications A PhD in one of the molecular biosciences is required and previous teaching experience is strongly preferred. Must be eligible to work in the US on a full-time
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degree and three years of experience working in research with animals or PhD degree and one year of experience working in research with animals. Experience with enforcement, application and knowledge
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Qualifications PhD in environmental engineering, geotechnical engineering, or related field with expertise in pollutant fate, transport, and remediation, with 2 years of work experience beyond the PhD. Experience
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and continuing, with eventual extension to multi-year contracts, themselves expected to be renewed on a continual basis. Qualifications PhD in Psychology or other related social and natural science