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Kurt Schwabe Institute for Measuring and Sensor Technology e.V. (KSI) Meinsberg | Waldheim, Sachsen | Germany | 3 months ago
- Contribution to a machine-learning-driven experimentation platform - Comparison of automated and manual experiments Your profile: - Master’s degree in chemical engineering, biotechnology, chemistry, physics
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and the natural sciences. The Faculty of Mathematics, Informatics and Statistics invites applications for a Junior Professorship (W1) (for a period of 3 years) of Mathematics of Machine Learning
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independently while contributing effectively within a multidisciplinary team Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able to teach you
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in the areas of statistical methods for high-dimensional and/or large-scale data, mathematical and statistical foundations of machine learning, statistics of stochastic processes and dependent data
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Science in Earth Observation develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth
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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