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, linking climate data and material behaviour across multiple scales. Particular attention will be paid to how environmental factors accelerate damage, affect healing processes, and alter material properties
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indicate your preferred position in your cover letter. The successful candidates will focus on developing and applying data science tools that integrate both customer-related data and Environmental, Social
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
to anticipate and manage. This PhD will develop a machine learning module to detect early warning signals of positive tipping points from techno-economic data, helping policymakers design adaptive strategies
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
. This PhD will develop a machine learning module to detect early warning signals of positive tipping points from techno-economic data, helping policymakers design adaptive strategies for rapid and
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-like operation in GaN Devices. Silicon devices have both nMOS and pMOS to realize power efficient and seamless analog and digital signal conditioning, but is limited to a narrow operation temperature
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We seek you as a PhD candidate to investigate enabling CMOS-like operation in GaN Devices. Silicon devices have both nMOS and pMOS to realize power efficient and seamless analog and digital signal
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: vibration measurement and analysis, AI/machine learning or signal processing Programming experience (e.g. Python, MATLAB, or similar) A creative and analytical mindset with an eagerness to pioneer new methods
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engineering Engineering » Systems engineering Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 3 Dec 2025 - 22:59 (UTC) Type of Contract Permanent Job Status Not
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PhD opportunity. Challenge: Design a just-in-time authorization and usage control stack that reacts to dynamic risk signals while guaranteeing legality, privacy, and ethical safeguards across
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8 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Computer hardware Computer science » Digital systems Engineering