15 machine-learning-phd-in-netherland Fellowship positions at University of Texas at Austin
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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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as assigned. Required Qualifications Doctoral degree, MD or PhD received within the past 3 years. Experience with the use of electronic medical records and clinical data. Self-direction, critical
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account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program
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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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Start Date: Immediately ---- Position Duration: Expected to Continue Until Apr 20, 2026 ---- Location: AUSTIN, TX ---- Job Details: General Notes PhD must have been received within the past 3 years
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supporting over 90 Masters and PhD students. The goal of graduate study at the College of Pharmacy is to develop the intellectual breadth and specialized training necessary for a career in teaching, research