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technology and economics Experience in energy system modeling is beneficial First programming skills, ideally in Python Independent and analytical way of working Reliable and conscientious working style Fluent
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experience in the methodical and analytical development of energy system models with programming skills, preferably in Python Experience in the successful acquisition of third-party funded projects and in
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. with Python Basic knowledge of network technologies (OSI model, LPWAN) Independent, structured and reliable way of working Degree in electrical engineering and information technology, computer science
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Familiarity with statistics and programming experience in Python are advantageous Strong intention to be a part of international team with interdisciplinary questions We offer: An interesting and vibrant field
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, biochemistry & bioinformatics Experience in the fields of bioinformatics, computational biology or systems biology Proficiency in a programming language (e.g. Python or R) for data analysis and model
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languages such as Python and experience with ROS2 Passion for research and solving complex problems Structured, independent and results-oriented way of working Excellent communication skills and ability
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Knowledge of programming languages such as Python and experience with deep learning frameworks (e. g. PyTorch) Passion for research and solving complex problems Structured, independent and results-oriented
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Experience in path planning / trajectory planning or traffic optimization is desirable Knowledge of programming languages such as Python and experience with deep learning frameworks (e. g. PyTorch) Passion
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computer science, mathematics or an equivalent with above-average performance You have very good knowledge in one of the following areas: Programming skills in Python, C++ or CUDA Deep learning frameworks
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programming skills in one or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness