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, a structured approach to work and safe working methods Good language skills in English and German. The following qualifications and skills are desirable: Experience in Python programming Experience
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, Data Science, AI, Math, Physics, Geoinformatics, or a related quantitative field; applicants from environmental sciences are welcome with strong programming skills (preferably in Python). Experience with
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skills (Python, R, Java, …) and interest to work in polyglot software environments Practical experience with machine learning and AI methods and an interest to learn, adapt and apply ML methods
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machine learning tools on the experimental and numerical data. Requirements Master degree in physics, chemistry, mathematics or related fields Knowledge in materials science Knowledge of python good
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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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to participate in international meetings Experience with conducting and documenting scientific experiments as well as processing and analyzing data (Python, Origin, Excel) Good communication in English, knowledge
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
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, magnetic fields) and programming skills (e.g. Python) are desirable. Remuneration is based on the TV-L (EG 13, 26 h/week). The contract is limited to 3 years, which is the project duration, set by the German
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neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm for experimental work are highly valued. Participation in teaching