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learning • Programming skills (e.g., Python, R) • Interest in interdisciplinary research at the intersection of data analysis and learning sciences • Interest in education and learning as an
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institutions from academia and industry: https://euraxess.ec.europa.eu/jobs/401249 . Your mission The aim of the project is the development of a physical model of the initial solidification of steel during
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Proven practical and theoretical experience of several years with electromagnetic methods in Geophysics Proven in-depth experience in programming numerical applications (e.g. with C++, Matlab, Python
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reaction engineering Experience with process simulation software (e.g. Aspen, AVEVA, Python, ...) is an advantage but not required Excellent organizational skills Ability to show initiative and work
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
languages (e.g., Python, Julia, Matlab) Strong interest in process modeling and simulation, including novel methods and approaches such as neural networks and nonlinear optimization Ability to analyze complex
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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, information science, sociology, communication science, political science, linguistics, physics Very good knowledge of R and/or Python Experience in the use of machine learning and natural language processing in
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• Proficiency in statistical or programming tools (e.g., R, Python) • Interest in education and learning as an application domain • Ability to work independently • Demonstrated academic writing
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Python, PySpark, and machine learning frameworks (e.g., PyTorch) Desired: expertise in working with social media data, metadata, and web standards Ability to communicate fluently in English; basic
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and AI algorithms Solid programming skills in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience working with geospatial data (e.g., geopandas