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intelligence in production technology You are optimally already familiar with the theory and approaches of machine learning and would like to specialize in this field Advanced programming skills in Python and
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, experience with programming (e.g., MATLAB, Python) is highly desirable Highly motivated, independent, and able to work effectively as part of a team Proficiency in English (both written and spoken
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analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition
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. You are studying microsystems technology, natural sciences, engineering, IT, mathematics or a comparable course of study. You have very good programming skills in Python. You have very good visual and
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skills in Python, Javascript and React You are characterized by an autonomous way of working, strong communication skills, solution-focused mindset and the ability to work in a team Basic knowledge of
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of the (computational) mechanics of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux
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and statistical software (e.g. R, stata, Python) - Interest in economic sociology and political economy - Knowledge of more than one European language other than English is an advantage - Students in
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Utilize data tools (R/Python) for data processing, modeling, and visualization What you bring to the table Studies in the field of biology, agriculture, or environmental engineering Experience in
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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
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knowledge in the fields of wind energy and hydrogen as well as some experience with Python. What you can expect What we can offer you ... We offer various opportunities to join us as a student. Whether it is