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applications for a paid PhD research fellowship position within the field of probabilistic machine learning to be filled earliest by 1 January 2026 for a period of three years. The research project will
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or interest in runtime reconfiguration techniques and system safety considerations. Experience working with machine learning methods for control, perception, or decision-making in physical systems is an
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of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience with embedded systems programming (Preferably) with a strong background in