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Università degli Studi della Tuscia - Dipartimento di Scienze Agrarie e Forestali – DAFNE | Italy | 4 days ago
Description Study of the genetic and physiological molecular bases of the regulation of adventitious rooting in olive: environmental and endogenous factors that determine its development Where to apply Website
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at https://apply.interfolio.com/181843 . Questions regarding the search may be directed to Hannah Lau, Search Committee Chair, at hxlau@hamilton.edu. Our review of applications will begin on March 15, 2026
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information at https://www.hamilton.edu/dof/faculty-development/resources-for-prospective-or-new-faculty/opportunities-for-spouses-or-partners (Opportunities for Spouses or Partners). Hamilton provides domestic
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at the west bank of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The GBA is rapidly developing into one of the leading technology and innovation hubs of the world. UM is placed No. 145 in the THE World
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endoscopic exploration. Recently, we developed a wide-field coherent Raman microscopy technique using speckle illuminations and Coherent Anti-Stokes Raman Scattering (CARS) contrast to produce chemical images
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Laboratoire de Chimie Théorique, Sorbonne Université & CNRS | Paris 15, le de France | France | 1 day ago
not yet exist. The project aims to develop new electronic structure methods, in particular within the framework of density functional theory (DFT), based on a variational formulation of QED. The work
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://www.hercjobs.org/regions/higher-ed-careers-upstate-new-york/ , as well as additional information at https://www.hamilton.edu/dof/faculty-development/resources-for-prospective-or-new-faculty/opportunities-for-spouses
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the experimental study, will develop open-access online instructional materials. Where to apply Website https://www.unive.it/data/50068/?id=2026-UNVE000-0090966 Requirements Additional Information Eligibility
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research interests in line with the following select publications: https://doi.org/10.1016/j.chom.2024.03.001 ; https://doi.org/10.1038/s41564-023-01464-1 ; https://doi.org/10.1038/s41564-024-01761-3 ; https
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position within a Research Infrastructure? No Offer Description Activities: This research investigates the use of artificial intelligence in developing data visualization systems for born-digital collections