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reaction conditions, and theoretical modeling. Ultimately, the project aims to seamlessly incorporate photoelectrode-catalyst couplings into tandem systems for water splitting and CO2 reduction, utilizing
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tolerance) and foodsafety (generation of healthier food). We focus in particular on molecular metalloid- and water efficiency mechanisms in roots and flowers of oilseed rape, maize and Arabidopsis YOUR TASKS
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at TUM and will include several postdocs, PhD students, and technical staff. The team will work on various topics, including multi-scale analyses of productivity, nutrient and water cycling in livestock
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at TUM and will include several postdocs, PhD students, and technical staff. The team will work on various topics, including multi-scale analyses of productivity, nutrient and water cycling in livestock
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Transferability, as well as Deep Learning for Complex Structures. These novel methods will be applied to practical tasks such as predicting European water storage, quantifying permafrost thawing, sea level budget