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comprehensive capabilities in conducting sophisticated fluid dynamics data analysis. This job includes aerospace-related machine learning algorithms. Specific duties include data analysis from wind tunnel
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an advanced degree (MA, MPA, MPP, JD, PhD, etc.) to teach one or more 1 to 3 credit courses over 5 to 15 weeks during the Spring 2026 semester. The course topic should relate to the semester theme of “National
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Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and
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for assisting with conducting learning evaluations, and in the provision of learner-centered academic coaching support for MD, MSTP, and PhD students. This position requires helping students adapt their study and
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vision Special Instructions We highly recommend reviewing our department website’s Faculty pages to learn more about our faculty, their labs, and their research interest before applying. Please apply
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interdisciplinary professional partners. • Other duties as assigned. Requirements: • PhD degree in computer science, applied mathematics or electrical engineering, with a focus on computer vision/machine learning
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 19 hours ago
expectations. Candidate's academic research/teaching interests can include but are not limited to corporate finance, investments, financial markets, and fintech (including IA/machine learning). Evidence of
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Susquehanna International Group, Quantitative Research Internship ID: SIG -QSTINT28 [#26690] Internship Title: Machine Learning Internship Program – PhD Hire – NY/Philadelphia area Internship Type
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University of California, San Francisco | San Francisco, California | United States | about 3 hours ago
program learners. Coordinates program operations, which include teaching and learning activities, program curriculum, learner scheduling, and reporting education data, maintaining databases, tracking
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, government or corporate setting. They would also have a PhD or commensurate industry experience/expertise in a Cybersecurity related discipline, such as Computer Engineering, Computer Science, or Electrical