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Grant/funding reference: PID2023-149956OB-I00 Job title: Safe and efficient ports: comprehensive operational risk management through monitoring, advanced techniques and machine learning. PORT-AHEAD+AI
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Stipend in machine learning methods for the analysis
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PhD Stipend in machine learning methods for the analysis of IoT time-series data. At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend in machine learning
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expertise. 2. Curriculum Vitae including a list of publications (maximum 3 pages). Where to apply Website https://jobrxiv.org/job/phd-position-in-machine-learning-and-ecology/?utm_sourc… Requirements
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to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
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, multi-agent systems and data-driven optimization. Basic skills and knowledge of machine learning principles. A good understanding of practical engineering challenges with a view towards impact. Personal
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(CPSs), with emphasis on resilient control, learning-enabled systems, and system-level assurance under adversarial conditions. The SecReSy4You network brings together 10 doctoral candidates across leading
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energy systems and energy markets. Strong interest in distributed optimization, multi-agent systems and data-driven optimization. Basic skills and knowledge of machine learning principles. A good
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measurements with structural and aerodynamic models. The candidate will explore physics-informed machine learning and system identification techniques to improve monitoring, uncertainty quantification, and
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measurements with structural and aerodynamic models. The candidate will explore physics-informed machine learning and system identification techniques to improve monitoring, uncertainty quantification, and