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support in manufacturing and production Research area and project description: We are looking for 3 PhDs to work on Digital Twins for autonomous systems in industrial manufacturing settings. In industrial
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the opportunity to participate and influence the development of advanced power system models for renewable energy integration in collaboration with the top universities and industry in the field
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with respect to high level research, training and innovation within manufacturing engineering, in an exciting combination of academic and industrial environments. The selected candidate will receive
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, data engineering, and AI-powered maintenance solutions—key capabilities for driving efficiency in the competitive semiconductor industry and beyond. You will explore how operational platforms can unify
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for effective tool wear management. This position offers unique opportunities with respect to high level research, training and innovation within manufacturing engineering, in an exciting combination of academic
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with respect to high level research, training and innovation within manufacturing engineering, in an exciting combination of academic and industrial environments. The selected candidate will receive
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Job Description DTU, Department of Civil and Mechanical Engineering, the Section for Manufacturing Engineering invites applications for a PhD position (3 years) on the topic of simulation of process
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, transcript and protein quantification at the single cell level Collaborate with interdisciplinary teams of researchers and industry partners Publish research findings in high-impact scientific journals and