49 phd-position-in-security PhD positions at Delft University of Technology (TU Delft)
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://www.academictransfer.com/en/jobs/356548/phd-position-optimizing-hydrome… Requirements Additional Information Website for additional job details https://www.academictransfer.com/356548/ Work Location(s) Number of offers
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Help push the boundaries of urban wind modelling by developing efficient
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website about knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/356345/phd-position-predictive-softwar… Requirements
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knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/356346/phd-position-automated-code-ref… Requirements Additional
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the research lab on our website: https://se.ewi.tudelft.nl/fuse-lab/ The PhD positions will be fully at TU Delft, with strong collaboration with Meta. Application procedure Are you interested in
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will be considered. Find more information about the research lab on our website: https://se.ewi.tudelft.nl/fuse-lab/ The PhD positions will be fully at TU Delft, with strong collaboration with Meta
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unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/356202/phd-position-gan-based-electric… Requirements Additional Information Website for additional job details https
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. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/356217/phd-position-machine-learning-m… Requirements Additional Information Website
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: 1-page motivation letter tailored to the position you are applying Your CV Any useful document You can address your application to Prof. Dr. Said Hamdioui. Doing a PhD at TU Delft requires English
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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