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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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, 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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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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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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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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optimization of technical processes and products. We present the exciting range of applications of our collaborative software development MESHFREE: https://www.meshfree.eu/ Currently, our team is working
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! It would be an advantage if you have already gathered experience working on EU-funded projects, maybe even in a technical project management role. Are you also familiar with programming in Python
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(https://www.ise.fraunhofer.de/en/research-projects/pvev.html ), we are working to optimize models for PV self-consumption estimation and, on that basis, to develop an algorithm for PV feed-in upscaling
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allow you to find ways to reduce risks and costs over the entire life of the wind farm. To develop these methods and further advance the in-house software, you will use Python. You will assist our team in
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Science, or a comparable field? Do you have basic knowledge of Python, preferably with experience in modules like Pandas, Numpy, Scikit-Learn, TensorFlow, or PyTorch? Additionally, do you have a