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How can generative AI (GenAI) support Health Technology Assessment (HTA) of medicines? HTA bodies and technology developers are already experimenting with GenAI, but systematic evidence on where it
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partner program IMPRS-CellDevoSys. What We’re Looking For We seek bold, driven, and creative PhD candidates ready to tackle the toughest questions in: 🔬 Biomedicine & Regenerative Biology 🧬 Molecular
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Position Overview School / Campus / College: School of Medicine Organization: Medicine, Gerontology & Geriatric Medicine Title: Research Assistant Professor – Gerontology and Geriatric Medicine
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be released as open-source software and reusable research artifacts. Your tasks: You will contribute to the clinical-informatics and AI workstream of SEQUORA: Co-design and implement the clinical
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offer visa sponsorship for this role. Candidate requirements The successful candidate should have a good honours degree or a master’s degree in computer science, mathematics, civil engineering, mechanical
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 1 month ago
. The maximum period of employment as an Associate is 5 years. Who can apply You are eligible for the Research Associate Program if you possess a Ph.D. in natural science or engineering or a Master's degree in an
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by Associate Professor Soledad Gonzalo Cogno, is a computational neuroscience group at the Kavli Institute for Systems Neuroscience (www.ntnu.edu/kavli ). The Kavli Institute for Systems Neuroscience
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September 04, 2025 The International Max Planck Research School for Biology and Computation (IMPRS-BAC) is a graduate program offering comprehensive education and hands-on experience in both
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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sites, highly engineered geological repositories or in the marine environment. However, redox controls on porewater chemistry in these environments is poorly understood and requires robust datasets