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pseudostratified epithelial architecture, and its role in tissue behavior. It will also involve use of advanced live imaging, genetic manipulations, computational modeling, and mentoring junior team members. A
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Postdoctoral Fellowship. These fellowships provide funding for up to three years, and are part of the Moore Foundation’s Emergent Phenomena in Quantum Systems (EPiQS) initiative. Moore postdocs enjoy a great
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. or equivalent degree in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high
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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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, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications in top-tier machine learning/AI
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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