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during verbal interactions with human and AI agents. You will be based within the Section for Cognitive Systems, which is a lively and research oriented group of scientists and support staff with a broad
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tracking). Comfortable using Linux based HPC systems. Model order reduction, particularly proper orthogonal decomposition (POD) techniques. As a formal qualification, you must hold a PhD degree (or
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also be responsible for further developing source attribution models based on metagenomic data. Finally, as part of the capacity building activities in the project, you will contribute to the training
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, you will contribute to research-based teaching and the supervision of student projects. Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and
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experienced in working with in vivo animal models, preferably models related to perinatology You have strong laboratory-based skills related to molecular biology, neuroscience, immunology You have experience
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CO₂ capture technologies. The announced postdoc position is part of a work package dedicated to algorithms and thermodynamic models, where the primary task is to develop RAND‐based CO2 capture
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the surface of nanoparticles based on calcium phosphate (hydroxylapatite) and/or manganese oxides in order to promote their uptake by the leaves and their translocation towards target organelles where
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functionality in vivo in animal models (rodents). The required qualifications for the positions are: Documented experience with simulation software based on finite element methods (e.g. COMSOL) and ray tracing
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, particle stabilizing and templating agent all-in-one, sometimes even as the reaction partner. This kind of nanomaterial synthesis is faster, safer, and more energy- and atom-efficient than comparable methods
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, analytical chemistry, neuroethology and collective animal intelligence to develop predictive models on honeybee behaviour in response to chemical cues. If you care about biological diversity, sustainable