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this we will be creating agentic AI models and in a joint effort between the Research Group for Genomic Epidemiology at DTU National Food Institute and Section of Epidemiology, Department of Health, UCPH we
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, or decision-making in autonomous driving or robotic systems Reinforcement Learning and Agentic Control: Hands-on experience with reinforcement learning, multi-agent systems, or planning-based agents
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creating specific areas of advantage. The College continuously enhances its core competitiveness and educational quality, striving to become a significant innovation base for bioinformatics and agricultural
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(https://ai-sandbox.list.lu/ ), an innovative environment dedicated to the trustworthiness evaluation of LLMs and AI Agents. The traineeship will focus on supporting the development, integration and
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models or self-supervised learning approaches to biomedical data AI agents for orchestrating multi-stream data integration, real-time analytics, and decision-support workflows in survivorship research Our
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hospitals. PRIMARY DUTIES AND RESPONSIBILITIES: The qualified candidate will focus on developing new algorithms, including agentic artificial intelligence approaches, for the clinical integration
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robotics Goal-driven agentic AI Autonomous medical imaging Design of AI-enhanced medical devices Machine learning models and algorithms for medical signal processing Embedded AI Privacy-aware AI Foundations
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one of the world’s most comprehensive, multimodal 3D/4D microscopy datasets and use it to power a vision foundation model capable of accelerating discovery across the life sciences. We're seeking a
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interdisciplinary pipelines to identify effective RNA drugs against human diseases: AI-driven RNA discovery – using AI agents to prioritize the therapeutic potential of human lncRNAs (supported by the NHLBI
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biodistribution of oligonucleotide-based modalities in mouse models. Preferred but not required: Experience with toxicity studies and in vivo imaging (e.g., IVIS, bioluminescence, fluorescence). Molecular and