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education programmes in physics, as well as in other programmes in the natural sciences and engineering. Candidates are expected to be willing to teach in English and, after two years at the latest, also in
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
and advance statistical, image analysis, and machine learning approaches Develop interpretable models that reveal biologically testable relationships and generate new scientific hypotheses Independently
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on the applications of logical zonotopes in digital circuits and the model checking of discrete-space systems, with the goal of developing methodologies and tools that make verification scalable and reliable. Learn
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, or the successful acquisition and implementation of externally funded projects. You are able to teach architectural and urban planning theory—from antiquity through the modern era to the present—in bachelor’s and
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machine learning-based model to map satellite retrievals to ground based air pollutant concentrations Conducting error assessment on the derived concentration data Implementing new observational data
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trials and deep learning-based modeling of multimodal biomedical data. We are seeking two highly motivated scientists with expertise in Causal Inference / Statistics / Deep Learning / Bioinformatics
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Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) | Erlangen, Bayern | Germany | about 6 hours ago
. Candidates who are able and willing to teach in both English and German are preferred. FAU offers career development, mentoring, and an attractive initial research budget. Based on international standards and
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specialization) or comparable long time experience - experience in product/quality assurance, or willingness and ability to acquire such experience - expertise in the development and/or characterization
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pursuant to Section 36 of the Higher Education Act of North Rhine-Westphalia (HG NRW). Further information and additional notes can be found at: https://www.uni-siegen.de/start/karriere/voraussetzungen_prof
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discovery and inference, with an emphasis on robustness, scalability, uncertainty quantification, expert knowledge integration, and multi-scale causal abstraction and representation learning. Your Job How are