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Mechanical Engineering, Computer Science, Mechatronics or a comparable subject Solid background in programming (e.g., Python or C++) is essential Experience with machining processes or ML approaches
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on further developing the MESHFREE software for volume-volume or surface-volume coupling, in order to enable heterogeneous allocation of MPI resources between different model hierarchies. We are looking
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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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for AML Pattern Detection Explainable AI for Investigator Support What you contribute Strong programming skills (Python) Solid foundations in machine learning Interest in NLP and LLMs, and/or graph-based
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of research and innovation! Be part of change Software development of the DSP toolbox for LiFi system Implementation of algorithms and software development using C++, Python or MATLAB Technical documentation
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university in the area of Physics, Communication Engineering or comparable Experience in creating simulation environments desired Experience with MATLAB and/or Python required Professional German and English
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Introduction to existing framework (PBRT-based simulation + Python code) Analysis of 3D results from simulation and physical experiments Prototyping, implementation, and test of software (Python, C++) Set-up and
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part of change You will be responsible for further developing the EHLA process using AI methods and will be able to actively contribute your ideas You will experiment with different approaches to process
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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