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: Topologically-Informed Large Language Models for Innovation Intelligence. The project is funded by FFplus, a EuroHPC Joint Undertaking initiative under the European Union's Digital Europe Programme, and brings
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Postdoctoral Associate - Animal Science The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University's second largest college. We work across disciplines
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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
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mechanisms that contribute to chronic pain, inflammation, and neuroinflammation. In this role, you will play a key part in advancing discovery-driven research that integrates molecular genetics, behavioral
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the invasive comb jelly Mnemiopsis leidyi, one of the very few animals known to produce coelenterazine, as model organism in our laboratories at University of Copenhagen. Apart from studying bioluminescence in
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-driven science and Cornell University’s second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach. The questions we
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community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do
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eager to defend data during scientific debate in local and global teams. As a highly motivated, self-driven and results-oriented person with excellent communication and presentation skills you are driven
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, signal processing, sensor fusion, machine learning, and data-driven modeling, with the broader goal of advancing human-centered intelligent infrastructure, smart cities, and resilient communities
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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