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FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics | Erlangen, Bayern | Germany | about 10 hours ago
8 Oct 2026 Job Information Organisation/Company FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics Department Department Mathematik Research Field Mathematics » Applied
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investigates the molecular mechanisms and biological functions of alternative RNA splicing in plants ( https://mps-imp.biologie.uni-mainz.de/ ). Our recent work has identified novel components of the
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posts Starting date: 14.08.2026 Job description: Postdoctoral Researcher - Probabilistic Deep Learning for Urban Air Quality (AEON-UP) Referenzcode: 1056 Arbeitsort: Geesthacht Bewerbungsfrist: 03.09.2026
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the EMOS program, the Munich School for Data Science (MUDS), and the Munich Center for Machine Learning (MCML). Cooperation with the institute’s consulting centers (StabLab, Machine Learning Consulting
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Helmholtz centers. Methodologically, a broad range of topics is covered, from large-scale data management to data mining and data analytics (including machine learning and deep learning); from high
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learning classifiers and traditional multimedia forensics Robust hash functions for image recognition OSINT and crawling, social media and the dark web / cryptocurrencies Machine learning for data
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-27778-post-doc-reinforcement-learning-fo… Requirements Additional Information Work Location(s) Number of offers available 1 Company/Institute Ulm University Country Germany Contact Website https://www.uni-ulm.de/in/bmt/
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MSCA Doctoral Network ( https://www.elevate-dn.eu/ ) and co-supervised by our partners at the university of Liège. Your tasks in detail: Develop an event-driven learning algorithm for latent reasoning
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machine learning models for weather and climate, such as the WeatherGenerator/EarthGenerator and develops high-end HPC and cloud data infrastructures to support this research. Your Job You will
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein-Westfalen | Germany | about 2 months ago
‑dimensional data analysis Practical experience in working with mice as animal models is of advantage. Practical knowledge of data analysis and machine learning using R or Python is of advantage Very good