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. Neil Sinclair and Prof. Marko Lončar), where TFLN devices will be fabricated at DTU and TFLT at Harvard. Scientific Environment The project is funded by The Novo Nordisk Foundation and anchored at DTU
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consist of: Independent research of high international quality, including publication. You will report to the Prof. Dr. Fulvio Reggiori. Your competences You have academic qualifications at PhD level, for
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modelling methods to design resistance-proof antibiotics. You will join an interdisciplinary team, integrating machine learning, medicinal chemistry and microbiology. You will work with Asst. Prof. Eli N
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Solution project " ASMADI - AI based Spectrum Monitoring for Anomaly Detection and Identification" to develop signal processing algorithms that enable autonomous detection, classification, and filtering
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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Faculty of Health and Medical Sciences University of Copenhagen We are looking for two highly motivated and dynamic computational postdocs to join the group of Prof. Ana Cvejic from the 1st of June
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: Equivalence checking of quantum circuits. This task will include the identification of suitable metrics for approximate equivalence and algorithms to efficiently compute approximation distances. A potential
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, this position offers a unique opportunity. You will work with real robots, real sensors, and real physical interaction problems, contributing directly to the development of autonomous mining systems capable
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: Equivalence checking of quantum circuits. This task will include the identification of suitable metrics for approximate equivalence and algorithms to efficiently compute approximation distances. A potential
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be supervised by Professor Katrine Qvortrup (DTU Chemistry) in collaboration with Asst. Prof. Eli N. Weinstein (DTU Chemistry), and Prof. Tim Tolker-Nielsen (UCPH Immunology & Microbiology), and is