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(dark matter, baryogenesis) and machine learning applications in these topics. The University of Oregon also has an experimental high energy physics group involved in the ATLAS experiment at the LHC and
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majors, as well as offering several general education classes in the discipline. The primary research foci of the tenure track faculty are high-performance computing, machine learning/artificial
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, overall facilitating interdisciplinary collaboration across the university. Current faculty and affiliates reflect strengths in machine learning, biological modeling, data ethics, data sovereignty
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classes in the discipline. Our faculty research covers a wide range of areas in computer science, including high-performance computing, networks, AI/machine learning, data science, and cybersecurity
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machine learning are desirable, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are highly encouraged to apply as well
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• Effective communication skills Preferred Qualifications • Expertise in one of the following areas: Environmental or Performance Physiology, Machine Learning, Motion Analysis, Multiscale Modeling