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/VHDL and C/C++ • Understanding of machine learning frameworks (e.g., Scikit-learn, TensorFlow Lite) • Demonstrated interest or experience in energy systems, NILM, or edge AI • Experience in
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one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics
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team, you will apply cutting-edge machine learning and deep learning techniques to dramatically reduce testing cycles. You will lead life cycle analyses, implement advanced health monitoring strategies
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