14 machine-learning-phd-in-denmark Fellowship positions at University of Texas at Austin
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Retirement contributions Paid vacation and sick time Paid holidays Please visit our Human Resources (HR) website to learn more about the total benefits offered. Purpose Planet Texas 2050 is currently seeking
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presentation, and manuscript preparation as part of a multidisciplinary team. Perform other related duties as assigned. Required Qualifications Doctoral degree, MD or PhD received within the past 3 years
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have been received within the last three years, 1 year of experience with machine learning, natural language processing, AI tools and frameworks, data integration, and/or explainable AI. Proficiency in
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in this position will conduct/lead applied as well as fundamental research in physics-informed Artificial Intelligence (AI) and Machine Learning (ML) methodologies enabling digital twin functionalities
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from date of hire. Preferred Qualifications Aptitude and experience with: (a) predictive machine and deep learning techniques, (b) statistical analysis, (c) hands-on experience using models such as
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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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collection, including cognitive assessments such as computer-based testing, questionnaires, and health measurements, as well as brain measures such as electroencephalography and near-infrared spectroscopy
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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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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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demonstrating relevant research outcomes. PhD must have been obtained within 3 years from date of hire. Preferred Qualifications Demonstrated research experience in water-gas-rock interactions, organic-inorganic