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graduate level and oversee Ukrainian language instruction. Full Time. Application Procedures & Deadline Information Please create your candidate profile at https://jobs.illinois.edu . Applications must be
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structuring of novel light-sensitive poly(amino acid) materials - a paradigm shift in delivering biocompatible devices", reference 101129842 of from the Chemistry Department / CICECO - Aveiro Institute
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of Grade 2/3 IDH-wildtype Astrocytoma ("Molecular Glioblastoma")” The project is led at the Medical University of Lublin by dr Grzegorz Stanisz, Ph.D., professor at the university. Project Description https
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of an artificial intelligence (AI) solution for the diagnosis of invasive fungal infections, using microscopy images obtained in laboratory settings with limited resources. Leveraging deep learning models such as
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TypeHybridAvailable for SecondmentNoClosing Date18-Dec-2025JD_Param11YesJD_Param12Yes CMI has expertise in multimodality gastrointestinal, oncological, musculoskeletal and neurological imaging, as well as medical
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: https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition . II. Preferential Requirements Experience in using the digital platforms: myFCT, CIÊNCIA ID, CIÊNCIA VITAE, IPCTN, PCT - Portal de Ciência
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anthropogenic impact on past biodiversity and its transformations, and refine the recognition of extinct animal varieties or those with particular adaptations by combining methods borrowed from archaeozoology, 3D
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documented experience in computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine
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system of record and document imaging software. Major Gift Pledge and Matching Gift Program Management: Oversee the matching gift program, including proactive donor engagement, reconciliation, confirmation
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the BERNARDO project, funded by the PEPR LUMA program (https://www.pepr-luma.fr/ ). The project focuses on chiroptical interactions, which play an essential role in fields such as biomolecular recognition