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of SATURNA, namely Language Models for RNA sequences, Graph representation learning and generative models, Knowledge-Augmented RNA modeling, Computational RNA biology and Experimental stem cell biology and RNA
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of the following would be considered an asset: LLM-based clinical decision support, rare disease diagnosis, or diagnostic reasoning systems. Retrieval-augmented generation, agentic AI workflows, prompt engineering
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for large language models and agentic AI systems. Experience designing and developing multi-agent systems, tool-using AI agents, retrieval-augmented generation systems, or autonomous reasoning and planning
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structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods, etc. - ML-augmented numerical method development. - High-performance computing (HPC
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agentic AI tooling such as Retrieval Augmented Generation (RAG) pipelines, agent skills, and Model Context Protocol (MCP) servers. Ability/willingness to travel to partner institutions and conferences as
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that augment human capabilities and leadership A desire to collaborate with an interdisciplinary team of scholars Ambition to engage in cutting-edge research with the potential to transform organizations and
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surgery and augmented reality–enhanced robotic imaging. Duties & Responsibilities Conduct and support research in tele-robotic surgical systems and augmented reality–guided robotic imaging. Collaborate with
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materials into Retrieval Augmented Generation (RAG) architectures and customized AI assistants. coordinating collaboration among faculty members, technical partners, innovation support units, and partner
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mental disorders across development. We develop and apply mechanistic models (e.g. reinforcement learning, normative modelling), generative approaches to augment neuroimaging data, and digital twin brain
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from augmenting hate speech content. While the role is based in a computer science school, the project is a part of a European consortium involving partners from a range of disciplines, and therefore