267 computational-physics "https:" "https:" "https:" "https:" "INRAE" research jobs at Harvard University
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
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
-
, 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
-
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
-
may be renewed for additional years. Basic Qualifications A PhD or equivalent in materials science, applied physics, thermal properties, mechanical engineering or a related area is required. Additional
-
and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists. Contribute to open-source code, reproducible
-
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
-
for Climate and Sustainability at Harvard University. The position is part of a program at the Institute on Expediting the EV Transition. The position includes a competitive salary and Harvard University
-
collaborate with researchers across astronomy, physics, engineering, and the history and philosophy of science, while contributing to mission-focused scientific and technical activities in support of BHEX
-
Life Sciences Research Foundation: Postdoctoral Fellowships Eligibility: Non-U.S. citizens must work in a U.S. laboratory. Individuals who have held a PhD or MD degree for more than 5 years at the time of application are not eligible. Applicants must complete postdoctoral training in a lab...
-
in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications