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Field
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. This PhD is part of a NWO project called “Flexibility in Electric Power from Steam-heated Industrial Processes” (FLEXPower). There are several partners involved in this project including a large distribution
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brain connectome organization and the integration of this data with recent functional and structural connectome properties and recent evolutionary genetic discoveries, utilizing large-scale bioinformatic
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. There are ample opportunities for collaborations within the project. The trait data collected in the PhD projects will also be used by a postdoc to assess how the impact of fire on tree populations is
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The Utrecht Department of Earth Sciences, group ‘Stratigraphy and Paleontology’, is looking for a highly motivated and versatile PhD candidate with a MSc background in Earth Sciences, Environmental
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Business School, ETH Zurich, HEC Paris, INSEAD, Kellogg, McGill, University of Georgia, the University of South Carolina, Renmin University, and WHU. More information is on the “PhD in Strategic Management
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to 11.00 am CET OR on December 11 from 8.00 pm to 9.30 pm CET. In these info sessions we provide you with lots of information on our PhD program, department, and school. You will also get to know some of our
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host a PhD day during which the students present their work and receive feedback from the department at large. Besides, we organize weekly lunchclubs during which both students and faculty can present
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research (e.g., combining big data or machine learning with in-depth fieldwork) can also be pursued. Method selection and mastery are viewed as part of the PhD learning process, guided by supervisors and
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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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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