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Field
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logic) Data analysis and signal processing (e.g. in Python / MATLAB) Literature research and preparation of short summaries or figures You do not need to already know all tools (COMSOL, Unity, etc.). You
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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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programming skills and experience in e.g. C/C++, FORTRAN, Python, Julia, or MATLAB A team-oriented, conscientious, and organized work approach Enthusiasm for interdisciplinary projects Optional: experience with
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Experienced with Python/Pytorch/Tensorflow Familiarized with Machine Learning Familiarized with Reinforcement Learning (preferable, not mandatory) What we offer Insight into exciting research projects Cutting
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data analysis using software Experience in R and python is a plus but not mandatory Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English
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programming skills in Python, C++ and/or Matlab are required. Good understanding of optics simulation, lithography and cleanroom processes (coating, etching, interference lithography) beneficial. We offer a
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Python and common deep learning frameworks (PyTorch) • Excellent communication skills in English (German is a plus) • Independent, structured working style and experience in supervising students Preferred
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures Knowledge in the field of ML security is desirable. Good Python skills, especially with
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, knowledge in computer vision and facial recognition. Good Python skills, preferably some experience with PyTorch, OpenCV, etc. Motivation to independently delve into new and current research topics. Interest
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Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python