708 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "UCL" positions at Harvard University
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an innovative and experienced fundraising leader and strategic thinker to lead the gift planning program in University Development. Harvard’s gift planning program has a long history of leadership and expertise
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Details Title Postdoctoral Research Fellowships in the Science and Theory of Generative Modeling School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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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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native peoples, or peoples of African, Asian, or Hispanic descent. The fellowship includes the requirement to teach one course per year (ideally in the fall term), to participate in a fellowship program
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have strong computer skills. Must have a demonstrated ability to work collaboratively in a team environment with multiple staff members. Must be able to handle complex and confidential materials and
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and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists. Contribute to open-source code, reproducible
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vision about our school’s ongoing strategic initiatives. Job Description Job Summary: The Nutrition and Global Health Program in the Department of Global Health and Population, at the Harvard T.H. Chan
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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