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, you will join the Power-to-X and Storage (PtX) section within the Power and Energy Systems (PES) division. The PtX section combines multidisciplinary research in energy storage and flexibility, digital
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Digital Twins for Wind-Offshore and GREAT: GRid Enhancement for Ancillaries in Tomorrow’s power systems, where you will interact with researchers and experts from TotalEnergies and many other research
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to develop circuits that convert analog neural signals into digital or event-based outputs (e.g., spike-compatible signals) suitable for a neuromorphic backend. Note: This position does not involve designing
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include: CMOS-based neuron and synapse circuit design Low-power digital architecture for SNN processing On-chip learning mechanisms Integration with sensor interfaces for biomedical signal processing What
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-out key analog and mixed-signal building blocks (e.g., low-noise amplifiers, voltage/current sources, multiplexers, digital logic) for operation at cryogenic temperatures. Develop measurement setups
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for resilient high-mix low-volume manufacturing. The aim of this PhD project is to enable fast setup of robot manipulators to complete advanced manufacturing tasks by the use of digital models. This should be
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at least one programming language (preferably Python) and experience with AI applications in manufacturing are expected. A motivated, collaborative person who is able to work in an international and