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15.11.2025, Wissenschaftliches Personal For the Chair of Advanced Analytics in Manufacturing Management, which is part of the Heilbronn Data Science Center and the TUM School of Management
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robust conceptual and analytical skills, as documented through prior research publications. Practical experience with LLMs (e.g., training, fine-tuning, mechanistic interpretability methods) is required
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-throughput data acquisition Quality control, method validation, and standardization of analytical procedures Collaboration with research groups within BioSysteM and exchange with your Technology hub colleagues
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, as is knowledge of GIS or quantitative data analysis. The successful applicant is expected to work independently as well as collaboratively within an international research team. Strong analytical
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research tasks, mentoring junior researchers, and coordinating multi-stage projects. Fluency in Python and modern deep learning frameworks (PyTorch/TensorFlow). Strong analytical, communication, and academic
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Experience in mathematical modelling, statistical inference, simulation studies, and data analysis Expert knowledge in relevant programming languages (e.g. R, Python, Julia, C++) Analytical and structured way
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applications Good analytical and (bio)statistical skills Knowledge of relevant programming languages such as Java, Python, and Perl Good knowledge of relational and document-oriented database design (e.g., MySQL
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28.01.2026, Academic staff We are looking for a team lead with knowledge in electrochemistry that will lead our activities in RDE/RRDE and flow cell operation coupled to operando analytics, e.g. ICP
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or a related discipline, with a strong interest in working in a cross-disciplinary life-science environment. In some exceptional cases, ELBE fellows can be analytically-minded experimentalists in
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of concept and transfer to industrial implementation. Various modern methods of plant biotechnology from the fields of process engineering, biochemistry, and analytics are of utmost importance for this. Be