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of computing and healthcare. Methodologies of interest include: multi-modal learning, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised
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components. You will explore how learning-based methods, such as imitation learning and reinforcement learning, can be integrated with model-based low-level controllers and multimodal sensing to enable contact
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, based on research and teaching projects, is aimed at researchers with a doctorate or equivalent and a first post-doctoral experience. The position is offered on a fixed-term contract (CDD) with a view to
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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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(GNNs) is a plus Experience with modeling and simulation techniques, such as: Network, agent‑based, or discrete‑event simulation Monte Carlo or stochastic simulation methods Simulation‑in‑the‑loop (SiL
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, scalable, resilient, performant, and maintainable JavaScript/TypeScript-based web applications, APIs, microservices, databases, and cloud-native solutions within Agile/Scrum projects, adhering to industry
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and facilitates DUKE FMD’s High Performance Building Framework execution through Sustainable Building Coordinator, Cx Agent, and PM. Escalate items which remain unresolved at the Project Team level to
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, applying state-of-the-art methods to cutting-edge biomedical questions. Design, implement, and evaluate ML and foundation-model approaches, including LLM-based solutions, for scientific text mining
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care standards. The candidate will have a process improvement background and demonstrated ability as a change agent. Prior experience in nursing leadership is preferred. Responsibilities* Personnel
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Infrastructure? No Offer Description The goal of this project is to elucidate the influence of phospholipid bilayers and their models on interactions of biological peptides and related molecules with copper ions