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matrices or soil) via nanotechnology approaches. The work will be carried out in the nanobiointerfaces group at iNANO with collaboration with the Department of Biology: You will be contributing to planning
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degree (or equivalent) in microbiology, biotechnology, food science, or a closely related field. Strong background in yeast biology, fermentation technology, or protein-rich microbial systems. Experience
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of single indistinguishable photons for photonic quantum information technology. Single-photon sources play an important role in photonic quantum information applications, which generally require near-unity
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arerooted in sustainability and the green transition. This meansweconduct research in areassuch as the circulareconomy, technology, urban, energy, and environmentalplanning, as well as sustainable transition
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Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing
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information for international applicants about entering and working in Denmark. You may also visit WorkinDenmark for additional information. Further information about The Faculty of Engineering. Read about
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The Department of Computer Science, Aarhus University invites applications for postdocs and PhD students. Supported by a generous ERC Advanced Grant and a Villum Investigator Grant from Villum
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) at the Department of Biology at the University of Southern Denmark. The candidate is expected to have a solid background in geobiology, and preferably with a strong interest in algal physiology and in laboratory
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Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 1 year. You can read more about career paths at DTU here . Further information
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spatial variability of soil health. You will be contributing to specifically the area of using proximal and remote sensors, soil physical, chemical and biological data, as well as plant and weather data