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health records. Medical Reasoning and Grounding: Developing advanced post-training and alignment techniques (RLHF, DPO, GRPO) to ensure foundation health models reason accurately and safely. Agentic
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advanced post-training techniques to ensure foundation health models reason accurately over medical knowledge graphs and clinical instructions while verifying factuality and safety boundaries. Agentic
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received funding from the European Innovation Council and the European Union’s Horizon Europe research and innovation programme under Grant Agreement No.101306664. Where to apply Website https
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the implementation of a cognitive agent embodied in a humanoid robot Unitree G1 which will collaborate with a human partner to solve a spatial problem (e.g. 3D puzzle). The tasks to be carried out are: (i) scene
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welcome outstanding candidates working in all fields of artificial intelligence. Areas of particular interest include; - Theoretical AI, - Generative AI, - Natural Language Processing, - Agentic AI
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cognitive agent embodied in a humanoid robot Unitree G1 which will collaborate with a human partner to solve a spatial problem (e.g. 3D puzzle). The tasks to be carried out are: (i) scene understanding
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screenings and collect health data in accordance with clinical protocols. Coordinate and deliver care both autonomously and in collaboration with physicians and other healthcare professionals. Obtain and
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, on July 15, 2026 The Cancer Research Foundation of the University of Salamanca is a non-profit institution, with its legal personality, private and within the autonomous community of Castile and Leon
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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. With the rapid proliferation of AI systems, frontier LLMs, multimodal models, autonomous agents and their growing capability, there are equal risks of misalignment with human, organizational, and