14 phd-computer-artificial-machine-human Postdoctoral positions at University of Texas at Arlington
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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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; undergraduate and/or graduate student mentorship. Required Qualifications PhD in Social Work, Psychology, Public Health or related healthcare field. Prior scholarly work in the area of health policy and services
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, and machine learning, the program prepares graduates to drive progress in fields like renewable energy, 5G, cyber-physical systems, and smart infrastructure. University Information The University
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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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data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms Assist with organizing large scale multimodal neuroimaging datasets, brain
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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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. 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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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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Detail oriented. Ability to work in a team environment. Must be able to interact effectively with internal and external stakeholders. Computer proficient (Microsoft Word, Excel, PowerPoint, and database