10 food-science-postdoctoral research jobs at University of Texas at Austin in United States
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Job Posting Title: Postdoctoral Fellow - Wildfire Science and Technology ---- Hiring Department: John A and Katherine G Jackson School of Geosciences ---- Position Open To: All Applicants
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Job Posting Title: Postdoctoral Fellow ---- Hiring Department: Bureau of Economic Geology ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt ---- Earliest
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Job Posting Title: Postdoctoral Fellow ---- Hiring Department: Molecular Biosciences ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt ---- Earliest
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Job Posting Title: Postdoctoral Fellow in Extreme Rainfall & Urban/Tropical Studies ---- Hiring Department: Department of Earth and Planetary Sciences ---- Position Open To: All Applicants
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Job Posting Title: Research Engineering/ Scientist Assistant ---- Hiring Department: Molecular Biosciences ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Non
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Job Posting Title: Research Engineering/ Scientist Assistant ---- Hiring Department: Molecular Biosciences ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Non
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Job Posting Title: Postdoctoral Fellow, Annette Strauss Institute ---- Hiring Department: Annette Strauss Institute for Civic Life ---- Position Open To: All Applicants ---- Weekly Scheduled Hours
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sciences or engineering with research experience in geothermal energy. Proven capacity for innovative, creative scientific analysis Excellent data management skills Proven publication skills and verbal
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Community College in electronics technology or related field. One year of professional experience working with electronic instrumentation. Knowledge of common electronics test devices such as DVMs. Interest
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. Preferred Qualifications Bachelor's or Master’s degree in Psychology, Latino Studies, Human Development and Family Sciences, Neuroscience, or related field. Experience with child data collection – strongly