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Researcher in AI-based Load Forecasting at Radboud University, you will be at the heart of this challenge. You will develop cutting-edge AI models that predict electricity consumption at both grid and
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circularity into a next-generation platform for real-time decision-making in battery recycling. This is what you are going to do Develop and implement multi-sensor analytical workflows (e.g. chemical
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multi-disciplinary project also involving transport engineering and societal partners, is a strong communicator and can work well in a team, is self-motivated to do cutting-edge research. TU Delft (Delft
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approaches will involve the use of helium-filled soap bubbles as flow tracers, combined with multi-directional imaging and illumination for omni-directional flow measurements. These elements form the basis
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acquisition. Experience in multi-stakeholder environments and a strong network is an advantage; teamplayer with proven abilities to train and supervise laboratory staff; excellent communication skills; in
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agency. The expected outcome is a set of clear, practically applicable, and validated methods for ethical assessment that capture multi-level social and normative change and support more responsive
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to transform EO data into reliable, transparent and actionable intelligence is critical. You will explore novel approaches for exploiting multi-sensor satellite data — such as optical, SAR, thermal, and
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you submit a multi-authored piece, please explicitly indicate your contribution to the chosen output. You can apply up to and including 12 April 2026. The first interviews are scheduled between 13-24
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), a consortium including AstraZeneca, TU Eindhoven, University of Gothenburg, Chalmers, and FinnAdvance. Nanoparticle drug delivery is a high-dimensional, multi-objective design problem: formulations
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and responsible space exploration, with planetary protection at the core of its efforts. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research