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Vacancies PhD and EngD position for ESG-Based Decision-Making for Customer Portfolio Management Key takeaways We are seeking a highly motivated and creative PhD and EngD candidate to join our
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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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24 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Aerospace engineering Engineering » Computer engineering Researcher Profile
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make extensive use of low-fidelity simulations which can provide fast but inaccurate solutions depending on the flow complexity. To close this gap, this PhD will explore machine-learning (ML) methods
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creation that controls clogging patterns Developing predictive digital rock physics and permeability evolution models from µCT data using machine learning and computational tools (PuMA/CHFEM/MOOSE) validated
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engineering Engineering » Systems engineering Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 4 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not
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/356373/phd-in-machine-learning-for-mat… Requirements Specific Requirements To get started in this role at DIFFER it is important: You have Master’s degree in machine learning, computer science, chemistry
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Learning. Work closely with the other PhDs and researchers on the project towards reaching the overall research goal. Contribute to educational activities (e.g. provide lectures, assist teachers, supervise
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: vibration measurement and analysis, AI/machine learning or signal processing Programming experience (e.g. Python, MATLAB, or similar) A creative and analytical mindset with an eagerness to pioneer new methods
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to support coordinated decision-making for sustainable strategies in the port call? As a PhD student at TU Delft, you will leverage AI (i.e. optimization and machine learning techniques) to prepare ports