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spectroscopy, and physisorption, and analyze their surface chemistry to derive structure?property relationships. You will study the adsorption behavior of carbon dioxide in the presence of water (co-adsorption
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well as the opportunity to design and construct instruments and/or sample environments Establishment of cooperation projects with institutes at Forschungszentrum Jülich working on energy materials Supervision of MSc and
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institutions, and a provider of research and development for companies throughout the world. The INM is an institute of the Leibniz Association and has about 250 employees. The INM research department Structure
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engineering, physics, materials science, or related fields. Tasks will focus on the design, construction, and commissioning of a heavy-ion beam irradiation chamber. The candidate will work in a
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Job description: DESY The European XFEL is currently the world's most powerful free-electron laser and has, over the past decade, significantly advanced the ability to resolve the structure of matter
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BINDERS FOR SUSTAINABLE BATTERY ELECTRODES (F/M/D) The INM Department Structure Formation (SFG) invites applications for a Postdoctoral Researcher position within the BMFTR-funded research project “RevEl
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 20 hours ago
), based on the salary structure of the German public sector (Öffentlicher Dienst, TVöD Bund; EG14/1-3). It is expected that successful applicants will be in residence at the MPIDR. Support for relocation
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on developing advanced methods for semantic structure extraction, conceptual and argumentative flow reconstruction, rationale-aware content generation, metacognitive prompting, and adaptive personalization. Core
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four different AC-voltages, independent of the distance covered https://arxiv.org/abs/2108.00879 . Theoretical consideration indicate good prospects for maintaining spin-coherence of the shuttled
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models and transformer-based architectures to construct high-dimensional design spaces. These models are integrated with Deep Reinforcement Learning (DRL) for fine-tuning or end-to-end learning, enabling