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-effective and environmentally sustainable decisions about component lifecycle management. You will be part of the large ADD-reAM project, an NWO-funded consortium having 15 PhD researchers exploring
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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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& Cognition Team at Erasmus University Rotterdam offers two fully funded PhD positions to study the aging brain through innovative cognitive neuroscience experiments and AI-based methods. Job description The
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farmers. Its research focuses on areas such as cryo-conservation of genetic material, big data analytics, breeding value estimation, phenotyping of novel traits in various species, and bioinformatics
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Vacancies PhD Position on Privacy-Preserving Data Visiting for Interoperable Healthcare Systems Key takeaways This PhD project aims to develop a reference architecture for data visiting
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31 Oct 2025 Job Information Organisation/Company University Medical Centre Groningen (UMCG) Research Field Medical sciences » Medicine Researcher Profile Recognised Researcher (R2) First Stage
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22 Nov 2025 Job Information Organisation/Company Royal Netherlands Academy of Arts and Sciences (KNAW) Research Field Environmental science » Ecology Environmental science » Water science Researcher
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forward to welcoming you to our community. Contact information For questions regarding the PhD application and selection procedure, please check the Admissions Opens external or send us an e-mail via
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/jobs/356452/phd-position-modelling-plant-mi… Requirements Additional Information Website for additional job details https://www.academictransfer.com/356452/ Work Location(s) Number of offers
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to significantly reduce the turnaround time of SRS, thus enabling their use for industrial design processes. By combining state-of-the-art numerical methods and data-driven modelling techniques, the PhD candidate