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of context-aware, distributed, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and the computing continuum eras. Our vision is to pioneer advancements in high-tech
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quantum light sources coupled to quantum memories. Quantum memories are key components of optical quantum computers and scalable quantum networks: They are responsible for the central tasks of storing and
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frequently applied non-target and suspect screening based on high resolution mass spectrometry (HRMS), combined with both gas chromatography (GC) and high performance liquid chromatography (HPLC). Likewise
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with competencies in electrical and photonics engineering. Research is performed within nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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Job Description Join the Multi-omics Network Analytics Research Team as a Postdoc in Computational Biology at the Danish Technical University (DTU) Are you an experienced scientist with a passion
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and diazotrophs using an ultrahigh performance liquid chromatograph coupled to an Orbitrap high-resolution mass spectrometer. The approach will include non-targeted metabolomics and targeted analysis