10 phd-computational-linguistic Postdoctoral research jobs at University of Texas at Arlington in United States
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related to your field. Required Qualifications PhD in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or other relevant engineering or science discipline. Expertise
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Interdisciplinary Training in Mathematics for Human Health,” supported by the National Science Foundation. RTG themes include modeling in cancer biology, computational neuroscience, and mathematical epidemiology
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of Engineering, at the University of Texas at Arlington, invites applications for a Postdoctoral Research Associate, Non-Tenure Status. The postdoctoral candidates shall hold a PhD degree in Electrical Engineering
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Applicants should have a PhD in Earth and Environmental Sciences, Hydrology, Hydrogeology, Geochemistry, or a related field. Preferred Qualifications Preference will be given to candidates with a track record
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imaging quality control and processing Assist with grant applications, manuscript preparation and supervision of RAs and volunteers Performs other duties as needed Required Qualifications PhD degree in
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. Required Qualifications PhD in Social Work, Psychology, Public Health or related healthcare field. Prior scholarly work in the area of health policy and services research. Experience applying for external
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and seminars. Contribute to mentoring graduate and undergraduate students in bioinformatics and coral disease research. Required Qualifications PhD in Biology, Bioinformatics, Computational Biology, or
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of federally funded research and personnel preparation grants currently awarded to the University of Texas at Arlington College of Education, Teacher and Administration department, Special Education Program
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skills in Python Demonstrated data analysis and visualization expertise Experience working in high-performance computing environments Familiarity with data analysis and visualization tools Preferred
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of federally funded research and personnel preparation grants currently awarded to the University of Texas at Arlington College of Education, Curriculum and Instruction Department, Special Education Program