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Communications. 2025 Apr 17;16(1):3690). The long-term goal of our work is to leverage cryo-electron microscopy (cryo-EM) to investigate ion channels and transporters, enabling AI-driven drug discovery
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, such as initiatives on model-based systems engineering in aircraft engine systems development. Possible research directions include: data-driven geometry assurance, tolerancing and variation simulation
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. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling, and post hoc support for laboratory studies and
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empirical taxonomy developed by the PhD candidate. Model training and fine-tuning. Fine-tune large language models on annotated educational datasets collected during the project, ensuring the agent's
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molecular experiments for hypothesis-driven research Analyzes, interprets, summarizes and compiles data Present research data at lab meetings, scientific conferences, and in peer-reviewed publications under
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together DII and Futurity Systems, a Barcelona-based technology company developing AI tools for innovation and competitive intelligence. TOPO-LLM asks whether large language models can reason more
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immunology, AI-driven discovery, and next-generation therapeutic development. Our lab studies how tumors interact with the immune system and develops new ways to interrogate and reprogram those interactions
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-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
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creativity, rigorous scholarship, and collaboration. You'll have opportunities to develop new skills, contribute to high-impact publications, and expand your professional growth while making meaningful
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of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery