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Vacancies PhD Position on Multiscale Mechanical and Performance Modelling of Solid Oxide Electrolyser Cells and Stacks Key takeaways High-Temperature Solid Oxide Electrolysers (SOECs) are a
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generalization. However, existing machine learning theory does not fully explain this behavior, leading to the development of new approaches. A promising explanation is that models are implicitly regularized
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its use of AI-driven predictive models that analyse real-time data from IoT-enabled devices to forecast patient outcomes, such as the risk of sepsis from urinary tract infections. This proactive
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qualifications around data-driven digital twins, energy systems modelling, forecasting and control. Some prior knowledge on distribution grids and methods for grid services is preferred. Moreover, the following
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-reality application development; modern AI techniques (such as computer vision or large multimodal language models); and/or human-computer interaction. Our industry partners are developing software
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to transcriptomics Extract, analyze, and evaluate experimental data Develop and establish research controls and standards, including animal models (mouse) Plan and write manuscripts, articles, abstracts, and research
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PhD position Modeling modals: A computational study of modal verb acquisition (V25.0196) « Back to the overview Job description The Center for Language and Cognition Groningen is seeking a motivated
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qualification is required at time of hire. Required Qualifications Completed Ph.D. in Ecosystem or Landscape Ecology (or related field such as ecosystem modeling, biogeochemistry, or climate change ecology
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related research directions in the eDIAMOND project, namely: Distributing model training and inference over a network of resource-constrained devices. Online, context-aware adaptation of Federated Neural
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, focusing on performance, operability, and dynamic behaviour (e.g. water hammer effects). Working closely with Rolls-Royce, your research will develop and validate models using real-world industrial data