10 computer-science research jobs at University of Texas at Austin in United-Kingdom in United States
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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 - Wildfire Science and Technology ---- Hiring Department: John A and Katherine G Jackson School of Geosciences ---- Position Open To: All Applicants
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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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. The candidate will have a strong background in mechanical engineering, materials science and engineering, technology research and development (R&D), materials characterization, computer-aided design (CAD), finite
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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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communication studies, journalism, political science, public administration, economics, information science, or related fields within the last three years. Strong record of research productivity. Experience
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will be expected to participate in lab administrative and management work Required Qualifications PhD in molecular biology, biochemistry, microbiology or closely related field. Preferred Qualifications
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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