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, system-level digital-twin framework connecting electrolyzer models with relevant Power-to-X components and energy-systema. Develop system-level optimization and energy-management methods for coordinating
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system-level optimization and energy-management methods for coordinating electrolyzers with renewable generation, power conversion, storage, downstream processes, and hydrogen demand. Apply and evaluate
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solutions that are relevant for the energy sector. In particular, you will be involved in a research project related to development of a battery management system (BMS) tailored for sodium-ion batteries
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for applications is 16th of August 2026, 23:59 GMT +1. After the expiration of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview
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February 2029, but with possibility for an extension. Job description • You will be contributing to further development of the WRF-Chem model to handle a large range of bioaerosols in particular pollen
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
design or similar relevant fields as documented by a PhD dissertation and/or relevant research publications experience in the professional management of research projects relevant teaching experience
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the democratic problem is not moralizing politics but that existing institutions are not equipped to manage it in a conducive manner. MoPo assumes not only that politics will always be moralizing to some extent
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presenting scientific results and demonstrated ability to drive a research project is highly valued. Collaboration and/or management skills: Ability to work effectively in collaborative, interdisciplinary
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innovative, advanced research in the areas of aquatic biology and ecology, Arctic environments and ecosystems, biodiversity, conservation biology, and wildlife management. The Department currently employs
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this context, energy sector organizations are turning to AI to forecast, balance, and manage critical infrastructure, while also responding to new regulatory frameworks such as the EU AI Act. ORBIT examines how