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and small, contribute to a better world. We look forward to receiving your application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with
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) Developing machine-learning based exoskeleton controllers to work across tasks 2) Designing and validating new robotic lower-limb prostheses 3) Exploring other high-risk high-reward research areas related
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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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decisions. The challenge then is how to optimally leverage such an asset to make viable trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self
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across all areas. PhD candidates under this program are connected with academic supervisors and industry-based researchers, to co-design innovative, applied research projects. Through their doctoral
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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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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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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
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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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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