398 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at Harvard University in United States
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Description The Engineering Fellowship Program at Kempner Institute at Harvard University offers a structured opportunity for recent graduates (fellows) to further their experience in AI/ML engineering. The
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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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(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 (the Harvard Kenneth C
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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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. Oversee internal and external audit coordination and leadership. Produce sponsored program activity reports and expenditure projections for HKS senior leadership and others. Serve as an expert resource
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an outstanding academic record and strong communication skills, demonstrate innovative and analytical thinking, and enjoy working in an interdisciplinary team. Working Conditions: Research laboratory, computer
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Qualifications and Skills: Bachelor's degree Experience in computer programming, Excel, Access, basic data analysis Experience working with human samples and DNA/RNA Extraction Experience with Excel, Redcap
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project that will illuminate aspects of historic and/or current antisemitism. The recipient will be affiliated with the Center for Jewish Studies, the Julis-Rabinowitz Program on Jewish and Israeli Law at
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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