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support machine learning applications for analyzing electron microscopy images of nanoalloys. Model interactions between nanoalloys and carbon substrates to reflect experimental conditions, incorporating
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visualization, multivariate statistics, time series analysis, predictive modeling and machine learning. Considerations: Exceptions to standard rates may apply to courses with unique credit hours, supervision
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staffing models. Skills / Knowledge / Abilities Basic computer knowledge, MS Windows, Word, Outlook, and clinical applications. Supervisor experience is preferred but not required. Does this position have
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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of new technologies; a second will focus on policy analysis leveraging machine-learning approaches to investigate the effectiveness of different policies and policy mixes in accelerating technology change
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of machine learning technologies, including large language models within the Department of Food and BioResource Technology, with a special focus on technologies applicable in so-called developing countries. As
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. Proficiency in SQL, Python/R, or similar tools; experience with big data platforms , machine learning, and data warehousing. Commitment to quality, integrity, confidentiality and compliance. Excellent
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-assisted image analyses. Candidate must be capable of working independently but importantly must be willing to work as part of a team. The RAI will participate actively in bench research as well as data
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region. Please use the following link to learn more about YSU: https://ysu.edu/about-ysu Show more Show less Connections working at Youngstown State University More Jobs from This Employer https
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networks, retrieval-augmented generation (RAG), and model fine-tuning. The candidate should have the ability to instruct and mentor master’s students in data science and engineering on effective problem