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equivalent) in physics, computer science, mathematics, data science, computational science, and cognitive science Very good programming skills (e.g., in Python, C++, or comparable languages) Ideally, initial
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, computational science, or cognitive science Very good programming skills (e.g., in Python, C++, or comparable languages) Ideally, initial experience in the field of crowd dynamics, data analysis, or spatial and
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or LiDAR data strong programming and data analysis skills (e.g., R, Python) proven ability to work independently in diverse, interdisciplinary teams scientific publishing experience is desirable a German
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(e.g. Python, R) or a universal programming language (e.g. C#, Java, C++, Rust) Knowledge of the use of relational and non-relational databases Very good English skills (written and spoken) High
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(https://www.ise.fraunhofer.de/en/research-projects/pvev.html ), we are working to optimize models for PV self-consumption estimation and, on that basis, to develop an algorithm for PV feed-in upscaling
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or computer science Experience with UNIX-like operating systems Mathematical and programming skills (Python, Machine Learning) Basic understanding of molecular forces and structures Excellent knowledge of written and
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data science. Scientific writing skills and first journal publications Experience in programming (e.g. Python, MATLAB) for experiment control and data analysis is advantageous. Self-motivated, organized
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conducted in close collaboration with Everllence (formally known as MAN Energy Solutions). The developed methods have to be tested in simulation and on real engines. Previous Work https://openreview.net/pdf
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, natural sciences, humanities and social sciences. Today over 19.000 students enrolled and 5500 employees work in 10 faculties. (https://www.uni-stuttgart.de/en/ ) The Institute of Space Systems is one
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biophysics, biology, biochemistry, or other relevant discipline Excellent written and spoken English skills High degree of independence and commitment Good knowledge of python and C++ Experience in relevant