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of electrodes and catalysts for low temperature fuel cells, electrochemical hydrogen generation, batteries, as well as heavy metal removal from aqueous solutions. By designing well controlled model systems in
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generation, batteries, as well as heavy metal removal from aqueous solutions. By designing well controlled model systems in combination with powerful analysis and characterization techniques, improved
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, modulation classification, sensing, and adaptive spectrum optimization in diverse operational environments. Your work will focus on modeling and algorithmic aspects related to the development of highly
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causal inference with structural economic modelling. Subject area The subject area for this position is economics. Fields of specialization: Labour Economics – AI and the Economy; Econometrics – Structural
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detection Domain adaptation Few‑shot learning Graph‑based models Vision transformers and/or diffusion models 2D+time (video) segmentation Qualifications To be eligible for a postdoctoral fellowship, the
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studies atmospheric aerosol particles and their impacts on climate and air quality using in-situ and satellite measurements, process modelling, and global modelling. The group is part of the strategic
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. These applications include, but are not limited to, anomaly detection, modulation classification, sensing, and adaptive spectrum optimization in diverse operational environments. Your work will focus on modeling and
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is expected to conduct knowledge syntheses on how agroecological measures affect biodiversity and ecosystem services, as well as on existing tools for modeling such effects. In collaboration with
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affect biodiversity and ecosystem services, as well as on existing tools for modeling such effects. In collaboration with project partners, the postdoctoral researcher will evaluate how biodiversity and
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companies' transitions towards a sustainable society. In research and education, we work in a broad spectrum. From basic mechanical engineering via modelling and simulation towards innovative product-service