550 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" Fellowship positions in United States
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approaches may include—but are not limited to—causal inference, spatial analysis, computational text analysis, and archival or ethnographic research. Postdoctoral candidates with relevant research interests
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during a 7-week summer program (June through August 2026). In addition to gaining experience in an active research lab, teacher participants will contribute to developing teaching materials related
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regarding University funds. Use of the fellowship should not involve extended study in a formal program at an American or foreign university nor should it normally entail participation in a structured program
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provided that: they are able to be in residence at Harvard, all other aspects of their PhD program are complete, and their degree is expected in the 2026 calendar year. The position may be renewable for a
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app in the Apple App Store or Google Play Store to help you stay engaged, connected, and informed during your ORISE experience and beyond!” Application Deadline 4/24/2026 3:00:00 PM Eastern Time Zone
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app in the Apple App Store or Google Play Store to help you stay engaged, connected, and informed during your ORISE experience and beyond!” Application Deadline 4/24/2026 3:00:00 PM Eastern Time Zone
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...on the GO! Download the new ORISE GO mobile app in the Apple App Store or Google Play Store to help you stay engaged, connected, and informed during your ORISE experience and beyond!” Application Deadline
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for Physical Sciences Qubit Collaboratory (LQC) is a national Quantum Information Science Research Center hosted at the Laboratory for Physical Sciences (LPS) at the University of Maryland, College Park. The LQC
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 3 days ago
and alcohol alone or in combination on driving impairment and perception. Through this hands-on research experience, the participant will help advance regulatory science by developing innovative
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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