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Computational Engineering, Computer Science, Biomedical Engineering, Data Science, or comparable Programming skills, preferably in Python and JavaScript Experience of SQL and relational databases Basic experience
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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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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
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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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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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the laboratory Electromagnetic simulation of circuits, antennas, filters, and related structures Programming by means of MATLAB, Python, C What you contribute Full-time student of electrical engineering or a
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., Python or C++) is essential Experience with machining processes or ML approaches are advantageous A high degree of motivation, initiative, independence Good language skills in German and/or English What
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« working group and the PowderMEMS process can also be found here: PowderMEMS (fraunhofer.de) What you will do After comprehensive training, you will independently develop Python-based software for an in