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electronic transport directly with structural and nanoscale characterization, including TEM, AFM and nanoARPES. The project combines hands-on device fabrication with advanced measurements and close
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Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong
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, email: [email protected] You can read more about the Department of Chemical and Biochemical Engineering at www.kt.dtu.dk . If you are applying from abroad, you may find useful information on working in
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