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challenges. As a part of your PhD research you will regularly visit our industrial and scientific partners to learn about the challenges and constraints. You will also study the problem in detail with
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intersection of mechanics, materials, and machine learning. Collaboration with international experts from diverse disciplines. Access to cutting-edge computational and experimental facilities. Supervision of MSc
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… Requirements Specific Requirements Your profile includes - A Bachelor and Masters degree in law preferably with a strong technology law profile - Proven research skills and a deep understanding of the Law and
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challenges (such as raw material constraints, hydrogen availability, and infrastructure deployment challenges), and analyze deep uncertainties. The research will guide sustainable transition strategies
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on your background, the work will 1) focus on the interaction between microwave design and measurement methods, looking deep into the technological capabilities of GaN, or 2) focus on new methods
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trends, and their future developments come with deep uncertainties. Infrastructure policies must account for these uncertain drivers and their dynamic interaction with changes in intended use. As part of
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large-scale neural models of the early visual system. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience and strong deep learning
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challenges (such as raw material constraints, hydrogen availability, and infrastructure deployment challenges), and analyze deep uncertainties. The research will guide sustainable transition strategies
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, identify challenges (such as raw material constraints, hydrogen availability, and infrastructure deployment challenges), and analyze deep uncertainties. The research will guide sustainable transition
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) developing and validating preprocessing pipelines; (3) architecting and comparing spectral-only and multimodal (HSI + NIR + Raman + RGB) deep-learning models; (4) implementing robust sensor-fusion strategies