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satisfactory performance. Flexible start date from July 2025. The priority application deadline is June 15th. Applications will be considered on a rolling basis and open until the position is filled. Notable
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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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the possibility of a yearly extension for up to 3 more years, contingent upon funding availability and satisfactory performance. Flexible start date from July 2025. The priority application deadline is June 15th
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work in Prof. Mara Prentiss' group at Harvard University in Cambridge, MA, performing experimental studies of RecA family protein mediated homologous recombination in collaboration with groups in
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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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development of researchers who are transitioning from training environments in the physical, mathematical, computational sciences and/or engineering into postdoctoral work in the biological sciences, and who
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commitment to cancer research. Other qualifications include: • Required: PhD in Statistics, Biostatistics, Computer Science, Data Science, or related field • Required: U.S. Citizenship or Permanent Residency
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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
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