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Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 . The University of North Georgia, a regional multi-campus institution and premier senior military college, provides a culture of
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simulations, optimisation, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https
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manufacturing principles. Experience with machine learning methods and integration into hybrid modelling systems Demonstrated ability to clearly communicate research concepts and results in high-quality journal
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well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/ida The position is based at the Division of Statistics and Machine Learning (STIMA). We conduct research
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Credits): Learn to use Computer Integrated Manufacturing to create three-dimensional models of mechanical parts: Computer Aided Design (CAD) digital modeling into Computer Assisted Manufacturing (CAM
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
for extension based on mutual interest. We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with
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Institute on advanced machine learning projects that use historical behavioral data to predict outcomes and inform strategies to improve engagement and solicitation effectiveness. Additionally, the Lead Data
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toward their desired path after high school—from exploring careers to assisting with applications. Learn more about AdviseVA here: https://adviseva.virginia.edu/ AdviseVA considers a variety of
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extraction in the time, frequency, and time-frequency domains). Development and validation of machine learning and deep learning models for physiological signal analysis, with a focus on cardiology
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interact with experience to give rise to differences in learned behaviors. The team focuses on vocal learning in songbirds as a model system to investigate these questions, employing a variety of behavioral