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Field
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, information science, sociology, communication science, political science, linguistics, physics Very good knowledge of R and/or Python Experience in the use of machine learning and natural language processing in
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part of change Assist in operating Kubernetes deployments and namespaces Support GitOps/CI workflows with Argo CD pipelines Automate tasks and tooling with shell and Java or Python scripting Troubleshoot
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related field. Experience in bulk/single-cell multi-omics data analysis and/or drug screen data processing. Experience in R or Python programming. Strong interest in translational cancer research and
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such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in
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-ray scattering, materials science, and/or experimental methods at large-scale research facilities Experience in scientific programming (e.g. Python), data analysis and handling/managing large datasets
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. Strong Python programming skills, including deployment in real-time or automated environments (desirable). Knowledge of differential equation systems and dynamic modeling (desirable). Experience with
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Python, PySpark, and machine learning frameworks (e.g., PyTorch) Desired: expertise in working with social media data, metadata, and web standards Ability to communicate fluently in English; basic
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Bachelor-/ Master Thesis: »Investigation of effects of surface metrology data on optical simulation«
programming with Python A high degree of initiative and independence Good language skills in German and/or English What we offer Ideal conditions for practical experience alongside your studies Professional
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engineering, physics or a comparable subject You have initial experience in setting up and operating opto-mechanical systems Knowledge in programming with Python is advantageous A high degree of initiative and
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High Performance Computing on CPUs and GPUs experience with simulations on supercomputers producing large volumes of data proficiency in Fortran, Python, shell scripting, and processing simulation data