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Qualifications • Highly recommended by scientists in the candidate’s field of study • Expertise in one of the following areas: Environmental or Performance Physiology, Machine Learning, Motion Analysis, Multiscale
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), supernovae, gravitational wave sources, magnetic activity in exoplanets, and machine learning classification. The candidate will lead and participate in observations and data analysis of these sources in all
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affiliates reflect strengths in machine learning, biological modeling, data ethics, data sovereignty, computer science, environmental data science, climate change policy and modeling, evolutionary genetics
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to work at the forefront of biophysics, learn cutting-edge instrumentation and quantitative analysis techniques, and collaborate with an interdisciplinary group of physicists and biologists. Minimum
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to independently follow through on tasks and projects • Proficiency with common computer software, including Microsoft Office (Excel and Word) • Flexibility to learn new skills quickly, troubleshoot protocols and
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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