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Networks. Knowledge of and experience in Python, TensorFlow, Keras, or other Machine Learning toolboxes, is essential. Knowledge of and experience in Large Language Models is highly relevant. The successful
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, programming competence for research (e.g., Python and/or MATLAB and reproducible workflows), and the ability to design and execute rigorous computational experiments. Familiarity with optimisation, networks
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in C++ and/or Python is expected, and experience in model analysis and parameter optimisation is beneficial. Experience in machine learning and neural networks is desirable. The successful applicant
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. Basic proficiency in programming or scripting (e.g., Python, MATLAB, or similar) for data processing or device control. 4. Ability to set up, calibrate, and troubleshoot sensor systems (e.g., IMUs