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, machine learning, optimization, and statistical data analytics are sought. Successful applicants will have experience applying these tools to a range of data problems, such as time-series analysis
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. Familiarity with generative AI tools and/or machine learning. Physical Demands/Working Conditions Typical office environment. Additional Details Reports to the Associate Dean, Data, Digital Strategies
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collection, and data analysis. Work activities may include the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive
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’ experience with R, Python, or Stata (R preferred) Admitted UW-Milwaukee Graduate Student Preferred Qualifications ArcGIS and geospatial data Machine learning methods Familiarity with the US education system
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Exploration of Migratory Beekeeping in Greece Muhammad Adnan Doctor of Philosophy in Electrical and Computer Engineering (PhD) Cross Stack Optimizations for large Deep Learning Models Elijah Foran Master of
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: Earth Sciences, Bioscience, Future Propulsion and Power, Synthesis for Biology and Medicine, Modern Statistics and Statistical Machine Learning, Mathematics of Random Systems, Medical Sciences
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researchers, to undertake your own innovative research in and across the fields of robotics, electrical power and signal processing, machine learning and AI within the School of Electrical Engineering and