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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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experiences in working with remote sensing data, climate data and programming skills (R or Python) are desired. You enjoy working in an international team and you are keen on developing a key set of research
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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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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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Engineering, Mathematics, Statistics, or related fields. • Strong programming skills in Python, Java, C++, etc. • A solid foundation in generative AI, machine learning, and related areas. • An Interest in eye
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be able to execute standardized workflows, troubleshoot, and perform quality control? Great! Are you well-versed in the use of inversion algorithms and confident in your Python skills? Perfect
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. The ideal candidate will have a completed degree (Masters/PhD) in Applied Mathematics, CSE, or comparable programs with above-average results; good programming skills and experience in C++ and Python
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knowledge in programming, e.g., with Python Tape-out experience If you enjoy creative work and developing new ideas and prefer a structured and team-oriented working style, we look forward to your application