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resources. By leveraging Edge AI, these projects aim to process data locally, reducing the need for data transmission to centralized servers, which in turn lowers energy consumption and latency. TinyML
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of sustainable high-performance steels. Qualifications A successful candidate has a theoretical depth in materials science and physics of metals and an experimental interest. Knowledge in thermodynamics, phase
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to participatory design in the information systems development process, Living Labs, co-creation, stakeholder engagement strategies, and the socio-technical perspective on innovation development, with a particular
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