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, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled
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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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field strong analytical skills, with knowledge of fluid dynamics, aerodynamics, and numerical simulation methods basic programming skills (e.g., Python, MATLAB, or similar) and familiarity with data
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about the ISSE Institute, please visit our website: https://www.isse.tu-clausthal.de Your responsibilities include: Research and development in the field of software engineering for dependable and safe
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pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results
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performance, detect artefacts, and ensure scientific rigor Proficiency in Python (or Julia/R) for data handling, ML model development, and statistical analysis Ready to work with time‑series data, sensor fusion
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measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm for experimental work are highly
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effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Participation in teaching
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sustainable future. A more detailed summary of our research fields can be found on: https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/dgt-digitized-green-tech Our excellent network on international
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environment Motivation and self-discipline to carry out research independently Willingness to work on numerical and experimental tasks Programming skills (e.g., Matlab, SIMULINK, Python) or other common process