570 computer-programmer-"https:"-"Brookhaven-Lab" "https:" "https:" "https:" "Simons Foundation" positions at Harvard University
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. Applicants should have a strong record and future promise in teaching, service, and scholarship, and be prepared to join a vibrant program recognized for educating leaders in education, research, patient care
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program activities and may include training and supervising of teaching assistants or teaching fellows. The position is for three years, with the second two years contingent on a satisfactory performance
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of funding. Candidates who have tenure-track offers but would like to defer and do a one-year postdoc are also welcome to apply. Basic Qualifications: Ph.D. in Statistics, Mathematics, Computer Science or a
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topics in international macroeconomics and finance Responsibilities • Conduct empirical analysis • Review and summarize academic literature • Assistant in theoretical and computational modeling • Prepare
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DNA elements and transcriptional and chromatin remodeling machinery in gene regulation. More information about the lab and specific research areas can be found at https://adelman.hms.harvard.edu
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of cilia. More information about the lab and specific project areas can be found at https://brown.hms.harvard.edu/research. We welcome applications from recent PhD graduates, particularly those who may
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funded by the Gates Foundation, and in partnership with ministries of health, academic partners, programme implementers, and international health agencies such as UNAIDS, WHO, PEPFAR, and the Global Fund
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on tasks for the annual fellows and intern program to ensure deadlines are met. Coordinate the onboarding logistics, such as payroll and facility access setup, for new fellows, interns, and staff members
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work-from recruiting and onboarding experts, to designing engagement pathways, to supporting seamless touchpoints between founders and the broader network. The role combines program management
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/Area Computer Science Position Description Accepting applications for postdoctoral position in Reinforcement Learning, Probabilistic Methods, and/or Interpretability. Information on the lab can be found