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Description Within the ANR HEBBIAN contract, the objective is to adapt bio-inspired Hebbian learning models recently proposed by one of the partners of this ANR (Frédéric Lavigne) in order to account for data
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
: 265566 Vacancy ID: PDS003971 Position Summary/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https
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: 7023830 Postdoctoral Associate, Earth Sciences Position Information Position Title: Postdoctoral Associate, Earth Sciences Department: Earth Sciences Posting Link: https://www.ubjobs.buffalo.edu/postings
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to eCO2, contributing to climate models and projections. The fellow will be based at the State University of Campinas's Center for Environmental Studies and Research (NEPAM-UNICAMP) in São Paulo state
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Postdoctoral Research Associate, Laboratory of Tree-Ring Research Posting Number req25711 Department Tree Ring Laboratory Department Website Link https://ltrr.arizona.edu/ Location Tucson Campus Address Tucson
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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structurally and functionally characterizing macromolecular complexes allowing the initiation of translation initiation of translated model messenger RNAs in Neurodegenerative Disease patients. The approaches
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A Postdoctoral Research Associate position in advanced MRI acquisition, analysis, and modeling is available in the Department of Radiology at the University of Virginia School of Medicine, under
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innovation at the heart of Africa’s progress. This approach enables UM6P to strengthen Morocco’s leadership in these areas through a unique model based on partnerships and by fostering the development
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researcher will develop, implement, and apply advanced ways in inverting a radiative transfer model for forest trait and uncertainty mapping at satellite, airborne and drone levels. She/he will explore