234 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Germany
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- EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites
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- Max Planck Institute for Biogeochemistry, Jena
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- RPTU University Kaiserslautern-Landau •
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
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- University Medical Center of the Johannes Gutenberg University Mainz
- University of Bamberg •
- University of Cologne
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- University of Konstanz
- University of Potsdam •
- University of Würzburg
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Field
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estimation, causal discovery, and concept-based explanation techniques Integration of causal and XAI methods into machine learning pipelines within the CRC 1294 “Data Assimilation” Implementation, evaluation
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strong AI focus; a PhD is desirable, but not mandatory Advanced knowledge of machine learning, statistical modeling, and modern AI methodologies Strong programming skills, preferably in Python and common
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-of-the-art computational text and data analysis methods Development, application, and validation of machine learning/deep learning methods for addressing specific research questions within the project Design
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical
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Artificial Intelligence (AI) and Machine Learning (ML). In this position students will contribute to research projects in CKL and as part of their education, will also engage in a dedicated 6-months internship
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such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in
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partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course
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for biotechnology. By combining mecha-nistic, statistical, and machine-learning models with automated experimental execution, the project will enable traceable, reproducible, and metadata-rich experimental planning
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workflows within SolMates development of scalable, cloud-based workflows, including the integration of machine learning components into Temporal-based workflow orchestration for data processing, analysis, and
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outcomes Conduct applied research in areas like information extraction, machine learning, and artificial intelligence, exploring their applications in the context of social media and cross-platform