293 computer-programmer-"the"-"U"-"IMPRS-ML"-"FEMTO-ST"-"Prof" positions at Harvard University
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the Center are not eligible; this limitation does not apply to former Undergraduate Fellows or former Graduate Fellows. The Fellows-in-Residence Program runs the course of the academic year, typically from
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the globe. OEE is a fast-moving, entrepreneurial unit of strategic importance to HMS, and the Program Delivery team has a central role in leading the program experience for all stakeholders, including
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"I Pledge" program and monitors patients needing lab testing. Keeps rooms adequately stocked being aware of each provider’s preferences. Competencies: Demonstrates the ability to obtain and document
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at the intersection of technology and public policy. One position will focus on the application of new technologies to the solving of public problems. We are particularly interested in computer scientists or social
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Qualifications: · Bachelor’s or Master’s in Engineering, Physics, Biology or related field. · Experience in biological imaging and image processing. · Ability to program. · Capable of organized, goal-motivated
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. Participate in the annual multi-year financial plan (5 years). Lead a process to assure that all internal agreements with faculty and other schools/centers are well-documented and transparent. Perform periodic
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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will focus on the application of new technologies to the solving of public problems. We are particularly interested in computer scientists or social scientists who harness tools of AI, data science, and
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The Computational Science and Engineering Laboratory at Harvard University invites applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for applications
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and