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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr
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, and it is a full-time position. The starting date is 1 May 2025 or as soon as possible thereafter. You can read more about career paths at DTU here . Further information Further information may be
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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and automated catch registration
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. Expertise in some of the following areas is expected: Expertise in quantum information processing, quantum optics, or related fields. Strong experimental skills and solid theoretical understanding of quantum
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for later starting dates can also be met. You can read more about career paths at DTU here . Further information Please contact Head of Section, Professor Nini Pryds, +45 4677 5752, nipr@dtu.dk or Researcher
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lineage tracing approach. Your primary tasks will be to: Use a range of mass spectrometry data acquisition strategies to explore their application in low-input proteomics all the way down to single cells
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novel quantum photonic devices. Such quantum devices are central for quantum information networks, quantum computation, and quantum cryptography systems, and lie at the basis of a forthcoming Quantum
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sustainability assessment skills. The project aims to channel information from fundamental research to a decision support tool for experimental researchers to tune their process parameters and foresee
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, glycoengineering, glycoanalytics, and big data analysis will be of great advantage. Moreover, you as the postdoc is expected to contribute to inter connective team tasks as well as in teaching and supervision of PhD