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) with an interest in ecology and evolution Demonstrated experience with mathematical modelling, and an ability to learn new concepts and (computational) methods as needed Affinity with scientific computer
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on atomic scale, requiring the development and study of ever more realistic model systems. Single atom catalysts, where the catalytic site contains only a single metal atom supported on a heterogenous
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approaches (e.g., agile methods, model-based development, CI/CD pipelines) in concrete research projects. Publication of research results at national and international conferences. Assistance in preparing
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as the advert will be removed once the position has been filled. As AI systems scale, privacy, security, and trustworthiness emerge as challenges. For instance, private data may be leaked during model
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( phenoconversion ). Within this project we aim to improve our understanding of the impact and mechanisms of phenoconversion in clinical practice. Moreover, we aim to evaluate how advanced in-vitro models, endogenous
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research institutions in Germany and a member of the Leibniz Association. The position is in the Statistical Modeling of Secondary and Registry Data Unit. The research interests of the unit are new
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expertise in the field of prediction modeling, longitudinal data analysis, statistics, data science, machine learning, AI, organoid models and cystic fibrosis. The supervisory team will consist of dr. Maarten
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oriented towards the development of a domain-specific design automation framework for cryptographic hardware. Your work will focus on identifying the mathematical knowledge and properties to guide hardware
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thermodynamics, energy technology, or systems modelling. Solid knowledge in mathematics, physics, thermodynamics, energy technology, optimization, and programming for system modelling, with experience in tools
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the full breadth of the sciences, contributing to solutions for major societal challenges. Our eight institutes, ranging from mathematics, computer science, astronomy, physics, chemistry, and