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to addressing the major societal challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics
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, on the perspective of the media organizations and the generative AI media production process itself. For this postdoc, we are specifically interested in how trust in AI systems can be garnered by focusing on creating
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position, you will form part of a consortium of researchers at ETH Zurich, the Paul Scherrer institute, the Physical Meteorological Observatory, the University of West Indies and ITS Indonesia with the goal
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will be part of the research group lead by prof Andrea Ramirez on industrial defossilization. The group is part of the Process System Engineering section (department of Chemical Engineering) at TU Delft
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current drift-diffusion modeling software, applying it to experimental data, and using machine learning to identify trends in the data. Applicants should have a PhD in physics, materials science, electrical
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and characterization electrode materials of electrodes and relative interfaces for the ceramic cells. Physical-, chemical- and structural characterization as well as, gas phase analysis of reaction
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14 May 2024 Job Information Organisation/Company ARCNL Research Field Physics Researcher Profile Recognised Researcher (R2) Country Netherlands Application Deadline 31 Aug 2024 - 21:59 (UTC) Type
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industry will drastically transform their production processes to achieve major reductions in CO2-emissions and a circular economy as mandated by the European Green Deal. As part of this process steel
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contributing towards a new approach to fusion bonding, combining process and performance optimization by simulations of physical phenomena and process monitoring using artificial intelligence. This postdoc will
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Engineering at the department of Engineering Structures within TU Delft's Faculty of Civil Engineering and Geosciences deals with the physical assets of the railway system, including track, embankment, rolling