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data in near-term era quantum computers. Applicants with backgrounds in quantum information or particle physics are both encouraged to apply. Candidates with strong expertise in machine learning, quantum
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Argüelles' group on the development of new algorithms to encode and process particle physics data in near-term era quantum computers. Applicants with backgrounds in quantum information or particle physics
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The CHS offers fellowship research opportunities to predoctoral and postdoctoral researchers. The program encourages and supports postdoctoral research of the highest quality on topics related
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. Doctoral degree in Biostatistics, Statistics, Computer Science, or a related quantitative field. 2. Strong theoretical training in statistics or strong programing skills (R, Python, or C++) are desired. 3