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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
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or related fields Strong interest in machine learning Basic knowledge of Python and common machine learning libraries Basic knowledge of electrochemistry and battery technology or willingness to learn What we
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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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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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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
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present. 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 skills, preferably some
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with python programming, image processing, agent-based systems Ideally, good communication skills in both German and English You are enthusiastic about learning new practical skills, approach unfamiliar
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of electrical engineering, physics, microsystems technology or a similar subject knowledge in the field of (high frequency) electronics and semi-conductor components experience in programming with Python for data
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scientific scripting languages (Python and Matlab) The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and