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that can serve as references for future studies, (ii) enhancing the understanding of physical mechanisms and causal pathways to strengthen attribution analyses and model development, build operationalized
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populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
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of projects simultaneously. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. This position requires an on-site presence at the Argonne campus in Lemont
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linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess associations between microbial composition, oral
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for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance. The successful candidates will lead experimental
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, following Articles 121 et seq. of the Administrative Procedure Code. 3 — Call Jury 3.1 — In accordance with article 13 of the RJEC the call jury has the following composition: President: Doctor Susana Maria
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-bacteria interactions is essential.Familiarity with in vivo animal models for infection and treatment studies is desirable. This position offers a unique opportunity tocontribute to translational research
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vitro cell assays,and biofilm studies. Experience in working with microbial pathogens and characterizing polymer-bacteria interactions is essential.Familiarity with in vivo animal models for infection and
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and education to address Moroccan and African challenges. Its work spans four key areas: energy transition, surface technology, polymers and composites, and sustainable materials. With over 70
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
models, and translational assays in clinical coagulation. Cancer biology and blood biology are inseparably linked. Cancer increases the risk of bleeding and inappropriate blood clots (thrombosis), both