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learning with knowledge-based inference, validated by independent experiments and partially supervised by human-in-the-loop systems. A key question will be how agentic AI and foundation models can be
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interaction with proteins to envision potential anti-virus effects, antibacterial agents, and diagnostic imaging using near infra-red animal imaging systems. Evaluate the biodistribution of these materials and
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the Centro Region of Portugal (CCDRC Ref: CENTRO-45-2020-75), in the conditions described below. The full text of the Call is available at https://www.uc.pt/mia/the-institute/careers/ or upon request
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if you have experience with safety-critical systems, multi-agent autonomy, or learning-based/data-driven/robust/adaptive control under uncertainty, supported by strong mathematical foundations. Hands
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housing revenue, maintains system accuracy through detailed reporting and database management. This role involves frequent interaction with students and parents and requires emotional intelligence
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28 Nov 2025 Job Information Organisation/Company Université Bourgogne Europe Department Nuclear Medecine Research Field Physics » Other Medical sciences » Other Researcher Profile First Stage
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difficult social situations (multi system impairments and or multiple co-morbidities) referred by a licensed provider. PRIMARY JOB RESPONSIBILITIES Administers treatments and physical agents as determined by
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2 Dec 2025 Job Information Organisation/Company AI4I Research Field Technology » Future technology Researcher Profile Leading Researcher (R4) Positions PhD Positions Country Italy Application
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
on the design and fabrication of microparticulate drug delivery systems loaded with chemotherapeutic agents. These microparticulate systems will undergo comprehensive physicochemical characterization to assess
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AI with enhanced cognitive/reasoning capability Artifical General Intelligence (AGI) eXplainable AI (XAI) Agentic AI and Multi-Agent Systems (MAS) Adversarial AI for the detection of misinformation