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lightweight AI models suitable for real-time execution on constrained platforms using techniques such as model compression, quantization, and hardware-aware neural network design. Investigating mechanisms
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the following qualifications: M.Sc. degree in either automatic control, mathematical engineering, mechanical engineering, mathematics, computer science or similar. Solid mathematical and analytical
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matter to photons is, however, a major source of loss, decoherence, and noise. Understanding the fundamental limits, dominant error mechanisms, and learnable effective models of such transduction processes
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programme Materials Science, Mechanical and Manufacturing Engineering, is open for appointment from 01.04.2026 or soon thereafter. The position is available for a period of 3 years. Job description The PhD