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- NTNU - Norwegian University of Science and Technology
- University of Oslo
- NTNU Norwegian University of Science and Technology
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science, and translational research models—SHIELD supports research on therapeutic strategies, novel antimicrobial materials, and experimental models that bridge laboratory discoveries to clinical
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biodiversity data, stable isotopes, and oceanographic parameters from two unique time series of benthos and meroplankton in fjord ecosystems. In addition, artificial intelligence (AI) applications will be used
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/SinglePageApplicationForm.aspx… Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Professional skills Experience in: Reinforcement Learning (RL), Model Predictive Control (MPC
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coastal climate and hosts rich opportunities for culture and outdoor activities, as well as a family-friendly environment. To explore the city, go to visitnorway.com . via Unsplash Application requirements
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, methodological approaches, and a progress plan for the three-year fellowship period. If you have employed AI-powered generative language models to prepare the project description, a declaration must be included
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antibacterial biomaterials to improve patient outcomes. Structured around three core scientific pillars—regenerative medicine, biomaterial science, and translational research models—SHIELD supports research
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enhance pollination services and increase apple orchard productivity. Pollination is a critical ecosystem service for apple orchards, influencing fruit set, yield, and overall orchard health. This project
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around three core scientific pillars—regenerative medicine, biomaterial science, and translational research models—SHIELD supports research on therapeutic strategies, novel antimicrobial materials, and
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approach of data-driven membrane discovery that includes material space construction and exploration, candidate selection and verification, providing data for machine learning models to optimise membrane
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. About the project The current project is aiming at developing novel human models for childhood dementia CLN3 to recapitulate disease progression and explore novel promising gene therapy strategies