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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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all backgrounds. We offer a stimulating and collaborative environment in the physics of life. Phd students in our group have the opportunity to learn from the best scientists in the field, publish in
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emphasizes innovation through the development of a Virtual Learning Environment (VLE) for construction safety or disaster response simulation, integration of Information Backbones including Digital Twins and
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all backgrounds. We offer a stimulating and collaborative environment in the physics of life. Phd students in our group have the opportunity to learn from the best scientists in the field, publish in
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for CI, HTI, and urban environments. The network emphasizes innovation through the development of a Virtual Learning Environment (VLE) for construction safety or disaster response simulation, integration
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participants Ideally, practical skills in one of (a) programming, (b) machine learning, and/or (c) design Responsibilities Developing and conducting novel research projects individually and on teams Developing a
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, first on whether these indeed drive these aberrant states, and second on whether these indeed drive the growth pattern. You will be embedded both within an experimental and computational team, providing a
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and digestive diseases in calves. The ultimate goal is to design a practical, robust, and non-invasive solution that can be directly implemented under commercial conditions, helping to reduce antibiotic
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is pioneering the development of a SaaS platform based at LotFourteen that leverages AI to help homeowners find the best balance in design and material selection for building resilient homes
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Description Do you want to creatively design polymers and coatings for cutting-edge energy applications? Are you motivated by the challenge of advancing emission-free transport? Do you thrive in a