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-power charging infrastructure. The work will combine battery-system modelling, power-electronic architecture analysis, automatic control, and switching/modulation strategies. The postdoc will develop and
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expertise in network resilience or survivability and in network optimization. Solid programming skills (for example in Python) and hands on experience with mathematical optimization and network modelling. A
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conservative repair or discard decisions. The Doctoral student will develop an advanced global–local modelling approach that captures how individual and interacting defects influence structural performance. By
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of the developer, stress, expectations, …)?, and (iii) how can relevant factors be formally modelled and used to adapt the displayed analysis results? The successful applicant will be encouraged to collaborate with
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If you enjoy turning complex dynamic systems into clear models and want your research to actually change how trucks can be developed into more sustainable actors in the transport system
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to train a new generation of 10 researchers in cybersecurity and resilience for cyber-physical systems (CPS). The 10 doctoral candidates will collaborate on modeling threat actors, developing scalable AI
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data-driven modelling. Who we are looking for The following requirements are mandatory: To qualify as a Doctoral student, you must have a Master's degree (masterexamen) of 120 credits or a Master’s
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postdoctoral position focused on innovative research in coupled transport-energy modeling and optimization. We are looking for a postdoc to join our team. Become part of our innovative group and contribute
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, realization of idealized models, relationship between cryptographic notions, and similar topics in foundational cryptography. Similarly work on the intersection of cryptographic protocols and formal methods is
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with fungal community, genomic or transcriptomic analyses Knowledge of multivariate analyses and statistical modelling Excellent communication skills in written and spoken English We consider it a merit