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or demonstrators. Interest in educational robotics and digital twin-based curriculum development. Cross-Domain Application Areas May Include: Industrial automation and predictive maintenance Smart farming and
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include, but are not limited to: Design and lead research projects aligned with the department’s priorities. Support application for external funding and project proposal development Use technical expertise
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of reusable CPS modules or demonstrators. Interest in educational robotics and digital twin-based curriculum development. Cross-Domain Application Areas May Include: Industrial automation and predictive
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produce hydrogen and for fuel cells within the hydrogen group at the MSN department and to participate indifferent activities of the department. The applicant must have a Ph.D. in Chemistry, polymer
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developing ultra-sensitive detectors (e.g., TES, KIDs, HEBs) for space missions. Research will focus on cryogenic systems, detector calibration, and sensor integration for applications in CMB studies, Earth