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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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21 Nov 2025 Job Information Organisation/Company Utrecht University Research Field Geosciences » Geology Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Netherlands
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translator or language teacher. For each of these women, The PhD will examine their biographical data, personal writings, and correspondence in order to find patterns in the language skills they professed
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24 Oct 2025 Job Information Organisation/Company Leiden University Research Field Cultural studies » European studies Cultural studies » Renaissance studies History » Modern history History » Social
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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
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optimizing the recovery of critical raw materials in the hydrometallurgical recycling of Li-ion batteries. As a PhD researcher, you will: Investigate purification and separation methods to understand
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innovative industrial partner in the Brainport region? Then, this PhD position is made for you! Information Complex dynamical systems, such as semiconductor equipment, consists of many interconnected modules
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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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nationally and internationally with academic partners, industry, governments, and livestock farmers. Its research focuses on areas such as cryo-conservation of genetic material, big data analytics, breeding
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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