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Job Description The Transport Division of the Department of Technology, Management and Economics (DTU Management) at the Technical University of Denmark (DTU) invites applications for a 3-year PhD
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-disciplinary involving algorithmics, stochastic optimization, multi-criteria decision making, and data science. As part of the project, you will implement and test algorithms and further develop your skills in
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and Statistics. You will also have the chance to collaborate with researchers from University of Cambridge, Technical University of Denmark, University of Warwick, Hamburg University of Technology, and
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behaviour. This will include developing and using state-of-the-art image recognition algorithms to create digital twin models as well as statistical and machine learning methods for analysing large-scale
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meetings Potentially participate in Arctic field campaigns Be working with large data sets and developing algorithms. You should be highly motivated, self-driven, and possess strong work ethics, team spirit
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a strong background in gyro-fluid modelling of turbulent plasmas, the numerical methods used to discretise such models, as well as the technical skills to implement these algorithms on high
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Job Description In collaboration with Chalmers University of Technology (Chalmers), the Technical University of Denmark (DTU) offers a new PhD position, “Impact and Scalability of Advanced Controls
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hardware modification. The AI will learn and adapt the realms of the combustion modes and fine tune the performance for each while the engine is operated. Self-tuning, adaptive, control algorithms will be
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data Design algorithms for correlating low-level events into process-level attack models Contribute to joint framework development with TU/e on continual learning Collaborate with industry partners
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling