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highly motivated PhD student to develop advanced fracture models for predicting material degradation and failure in additively manufactured steel in nuclear reactor water environments. The project focuses
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policy. Dr. Kang’s research laboratory is focused in personalized testing pathways, translation of diagnostic innovations, and cancer screening. We develop predictive models, simulation frameworks, and AI
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 17 days ago
compréhension des processus physiologiques au niveau moléculaire et pour l'amélioration des approaches théoriques pour le traitement des maladies. Le groupe de recherche hôte (https://sites.google.com/site
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economics and finance. Leveraging its ‘4-in-1’ model of education and residential college system, UM provides all-round undergraduate education, nurturing talent to support social and economic development in
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, CRCF). It will develop AI tools to map and predict soil health across space and time, accelerate literature reviews, extract best management practices from long-term experiments, and design methods
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evaluating and piloting new technologies to improve team workflows and research quality. Experience implementing or using AI, predictive modeling, or advanced analytics to inform prospect identification and
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, assess the health state of systems, and predict their future evolution and remaining useful life. The proposed approach integrates physics-based and data-driven modeling techniques, including machine
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intelligent surfaces Main supervisor: Prof. Viktar Asadchy[AALTO] Co-supervisors/mentors: Dr. Victoria Tormo [INDRA] and Dr. Barthès [3DEUS] Objectives To establish an analytical modeling approach
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physics. Many BSM theories, such as Composite Higgs Models or those involving extended Higgs sectors, predict significantly enhanced HHH production rates, potentially by orders of magnitude, compared
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of the existing strengths in the department, which include numerical weather prediction, climate modeling, high-impact weather and climate events, boundary layer meteorology, and surface hydrology