509 associate-professor-computer-"https:"-"https:"-"https:"-"https:" Fellowship positions in United States
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Office of Women's Health Grant Program (OWH GP) | Silver Spring, Maryland | United States | 8 days ago
of the team, the fellow will investigate how MSC-EVs can modulate key cellular players in SLE-associated cardiovascular complications—specifically pericytes, endothelial cells, and monocytes—which
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contact information for 2-3 references. Contact Information Professor Nancy Kleckner Northwest Lab Building 52 Oxford Street Cambridge, MA 02138 Camila Ossa (Administrator) camila_ossa@harvard.edu Contact
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applicants will be further interviewed by zoom. Contact Information Contact Professor McKinley at kara_mckinley@harvard.edu. Contact Email kara_mckinley@harvard.edu Salary Range 67,600—80,000 Pay offered
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Description Professor Jia Liu and his Bioengineering lab are seeking a postdoctoral researcher with extensive expertise in nanofabrication. The successful candidate will be responsible for designing and
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for one year, with the possibility of renewal based on performance and funding availability. This position reports to Dr. Yara Almubarak. Responsibilities* Work under Assistant Professor on externally
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technical/computational backgrounds (ML, NLP, AI safety, working with LLMs) as well as computational social scientists. The ideal candidate bridges these worlds or is eager to learn across them
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Structures: the formal study of mathematical proof itself, as a subject in computational complexity, type theory, metamathematics, logic, and beyond. What is the space of mathematical truth, and what proofs
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the Keith Center and the Director of the Detroit Equity Action Lab (DEAL) and report directly to Professor Peter Hammer. The fellow will assist with Center operations, engage in research and writing, as
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Professor Le Xie in the John A. Paulson School of Engineering and Applied Sciences (SEAS) and Professor Christian Kaps in the Harvard Business School (HBS) at Harvard University seek a motivated postdoctoral
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mentor, the participant will: Acquire or improve their ability to predict important plant-microbe associations based on computational data and supplemental bioassays; Learn to conduct research using