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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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funded PhD research projects offered by RSM are Business Processes, Logistics and Information Systems (LIS), Organisation (ORG), Finance & Accounting (F&A), and Strategy & Entrepreneurship (S&E).For a list
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/phd-position-in-catalysis-engin… Requirements Additional Information Website for additional job details https://www.academictransfer.com/356495/ Work Location(s) Number of offers available1Company
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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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workshops. Where to apply Website https://www.academictransfer.com/en/jobs/356224/phd-position-designing-resilien… Requirements Specific Requirements You have a master’s degree in geography, environmental
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PhD Position in Chemical Proteomics Faculty: Faculty of Science Department: Department of Chemistry Hours per week: 36 to 40 Application deadline: 24 November 2025 Apply now Protein lipidation
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interest and motivation to apply for a PhD position in our group, please indicate also when you can start the position at the earliest. An academic transcript of BSc and MSc education, including grades. A
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asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job Description As a PhD candidate in Mathematical Statistics, you will develop novel
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! The Catalysis Engineering Group, led by Dr. Shiju Raveendran, is seeking a PhD candidate motivated to tackle the efficient conversion of CO2 to valuable chemicals and fuels. This project will develop novel
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spectrometry, developing and applying new analytical strategies to identify new therapeutic opportunities. You will undertake a challenging and multidisciplinary PhD project in an international team with a broad