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Field
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courses in the university’s bachelor and master programs. Qualifications We are looking for candidates who have demonstrated excellent achievements in research and teaching in an internationally recognized
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bachelor's, master's, and doctoral programs, particularly in the Bachelor in Management & Technology, the Master in Management & Technology, and the Master in Management. Contributions to interdisciplinary
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in the school’s bachelor's, master's, and doctoral programs, particularly in the Bachelor in Management & Technology, the Master in Management & Technology, and the Master in Management. Contributions
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, data science or a comparable life-science or quantitative discipline Strong programming skills in R and/or Python, and experience developing reproducible, maintainable computational workflows using
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support our teaching activities in several Bachelor and Master programs offered by the School of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare
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Scientific Assistant (f/m/d) Junior Helmholtz.AI Consultant / Completed university studies (Bache...
, Dino, Yolo) # in machine learning benchmarking and evaluation metrics # in tabular machine learning (scikit-learn, xgboost) # in reproducible scientific programming and data science # in FAIR data
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aspirations, a 1-2 page research plan as well as a strong CV. Participation in academic self-administration is expected. Please submit your application online by September 21, 2026 through the RWTH appointment
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within the FAB and Fraunhofer ISIT (e.g. MES, IT, Technical Services, and Facility Management). You plan and optimize the material flow within your area of responsibility, from research and development
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to intellectual property generation. • Help redefine how health and disease are assessed in future medicine. This position is embedded within major research and innovation programs funded by the European Union and
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Advanced MA studies in mathematics with a specialisation in Actuarial and Financial Mathematics Interest in the subject pension scheme, ideally knowledge of German pension products Strong programming skills