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tailored to radiology workflows. Developing software tools that supports reliable model comparison, ablations, and useful documentation (for human users and agentic use). Communicating results effectively
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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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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
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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approaches, including advanced live cell imaging and in vitro motility assays. The position is based in Michael Way’s laboratory at the Francis Crick Institute. Click here to read more about the Way lab
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Framework (RDF). enables advanced data mining queries using the SPARQL query language. provides a natural language-based interface to perform these queries on the knowledge graph using a large language model