15 computer-science-phd Fellowship positions at University of Texas at Austin in United States
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translational research across clinical, academic, and technology domains. Participate in lab initiatives aligned with NCI, CPRIT, and NIH-funded projects. Required Qualifications PhD in computational biology
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based on the research results. Other duties as assigned. Required Qualifications PhD earned within the last 3 years in Operations Research and Industrial Engineering or a closely related discipline, with
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, or free speech. Candidates should hold a PhD in a field such as History, Political Science, Public Policy, Criminology, Gender and Women’s Studies, Black Studies, Latino Studies, Ethnic Studies, Sociology
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: Must have obtained a PhD in clinical psychology from an APA-accredited program within 3 years prior to the start date. Preferred Qualifications: Experience with human research, administering cognitive
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. Required Qualifications · PhD in Geophysics · Experience with land seismic acquisition, DAS, and time-lapse monitoring · Proficient in computer programming · Extensive publication and presentation record
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of manuscripts on newly developed methodologies and their experimental outcomes. Required Qualifications PhD in marine, microbiological, molecular biological, chemical, geological, engineering, or other
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the public engagement of science, and the translation of research findings into improvements in human health. Required Qualifications PhD must have been received within the past 3 years. This is a temporary
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) mentored training program for pharmacists with a strong interest in pursuing careers in pharmacy education. The program will provide extensive experiences in classroom and experiential teaching, educational
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heterogeneous integration. Other related functions as assigned. Required Qualifications A PhD received within the last 3 years in Mechanical Engineering or a closely related discipline with a focus on heat/mass
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to have exceptionally strong backgrounds in GIS, computational science and expertise in other sciences (biology, ecology, physics/engineering, etc.) and programming (e.g. R, Python, etc.). The successful