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the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power electronic conversion, energy and hydrogen storage, downstream processes
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within the project Next-Generation Latent Variable Models for Social Data Science. The scholarships are full-time for two years with start date 01 01 2027, or by agreement. Application deadline: November 4
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for the Postdoctoral Research Associate, Advanced Nuclear Reactor and Fuel Cycle Engineer role. This role is responsible for working with state-of-the-art modeling and simulation capabilities for lattice physics
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use numerical models to interpret and predict mechanical behavior. - Carry out a cross-analysis of experimental, microstructural, and numerical results. - Disseminate scientific results (publications
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capabilities interact with operational conditions, human intervention and the wider maritime and port logistics systems. The postdoctoral researcher will develop data-driven and model-based approaches to support
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genomic or molecular datasets Background in Bayesian statistics, causal inference, or probabilistic modelling. Familiarity with modern AI architectures and foundation models. Organizational and social
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 11 days ago
models to detect, monitor, and predict subtle cognitive impairment and future change Supporting ongoing data collection in local and national research cohorts, including monitoring
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 2 days ago
Job Code: 15-2026 Job Offer from September 24, 2026 The Max Planck Institute for Nuclear Physics is one of 85 research institutes of the Max Planck Society for the Advancement of Science e.V. (MPG
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engineering parts. This position offers a unique opportunity to drive the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power