19 computer-science-programming-languages-"U.S"-"U.S" Fellowship positions at University of Texas at Austin in United States
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/ epigenomics. The postdoctoral scholar will also join the PRC’s postdoctoral training program, which has associated professional development, mentoring, and capacity-building activities. What benefits do I
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with NCI, CPRIT, and NIH-funded projects. Required Qualifications PhD in computational biology, bioinformatics, computer science, information science, biomedical engineering, or a related field. PhD must
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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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programming languages (e.g., R, Python, Linux). Record of interdisciplinary research across the biological, chemical, or geological sciences. Academic background(s) or research experience in aquatic
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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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calculating water footprints for water management studies Familiarity with one or more programming languages and machine learning toolkits Self-motivated and strong problem-solving skills Salary Range $70,000
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Qualifications Doctoral degree in communication studies, journalism, political science, public administration, economics, information science, or related fields within the last three years. Strong record
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numerical and statistical modeling of natural systems. Working knowledge in programming languages such as MatLab and/or R. Experience with project management and ability to meet project goals in a timely
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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