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synthesis and assembly of concrete PCMs. RecyWax+ offers a PhD position for molecular-dynamics simulations of novel PCM systems for thermal storage. Recywax+ is supported within the Dutch Research Council NWO
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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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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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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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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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The SCS department at UT's Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS) advances semantic modelling, cybersecurity, and service design to enable meaningful computing within trusted digital environments. Their research focuses on ontology-driven conceptual...
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]. You will test prototype designs with elite cyclists and handcycle users to evaluate improvements in performance. During your PhD, your research will be at the intersection of biomechanics, muscle
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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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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