3,095 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions in United States
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, epilepsy, and others. The postdoctoral researcher will contribute to building a large-scale foundation model from brain MRIs and neurobehavioral data and deploying these models for a variety of real-world
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functional theory (DFT) or tight-binding modeling of materials, as demonstrated in application materials. NOTE: To be appointed at the Postdoctoral Researcher title, it is necessary to have the PhD in hand
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instabilities that can disable the interferometers, and designing new suspension systems for 100 kg test masses. We seek candidates across a broad range of disciplines. Expertise related to modeling, data
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Materials: Email to Ruth (ruthh@stanford.edu ) Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral
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) invites applications for a Postdoctoral Research Associate position. The successful candidate will lead the development of ocean models, building upon existing modeling frameworks established by the group
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Duke University, Biology Position ID: Duke-Biology-PD_DK [#30619] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America [map
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written English Additional Information This is a temporary, grant-funded position. The initial appointment will be one year, with the possibility of reappointment contingent upon the availability of grant
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research and travel. Applicants should normally have received their PhD in the last 3 years and must have their degree in hand prior to taking up the position on 1 September 2025. The appointment will be
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The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment
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. Ability to SCUBA dive within the AAUS framework is a plus. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills