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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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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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Delft and NXP Semiconductors as a PhD researcher developing next-generation testing solutions for analog and mixed-signal automotive chips. Job description The Computer Engineering (CE) section
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24 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Chemical engineering Engineering » Process engineering Researcher Profile
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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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, scanning system, and signal detection within a multi-beam framework. For this purpose, you will use commercial simulation software tools such as EOD and GPT, while also developing custom Python-based
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Challenge: Distinguish noise and signal in data streams Change: Refined
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Find2Fix will engineer the first open-source tool for the entire process
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to discover the qubits that build the quantum information processing machines of the future? Do you want to embed qubits in scalable systems and help bring quantum technology to real-world applications? We
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point-of-care spectroscopic sensor to determine the impact of the cell therapy during orgran perfusion. This includes generating experimental data sets with a commercially available spectrometer