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Field
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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
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subject areas. Both working independently and working in a team, e.g. during the measurement campaigns, is particularly demanding. Knowledge of programming languages such as Python is an advantage
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, preferably in Python, Fortran, Matlab or R #experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory #capability to work in a team but able to formulate and carry out
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skills in one or more languages (Python, C/C++, or others) experience in mechanical testing profound knowledge of machine learning methods (e.g., neural networks, Gaussian processes, active learning
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themselves with new subject areas. Both working independently and working in a team, e.g. during the measurement campaigns, is particularly demanding. Knowledge of programming languages such as Python is an
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of the simulation data Your Profile: Ongoing master studies in physics, chemistry or similar Fundamental knowledge of solid state physics Initial experience with programming languages, such as Python, is desirable