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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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adjustment and plate tectonics. The analysis will encompass both network wide and local analysis using data from Greenland GNSS Network (GNET). You will target specific regions where there can be an unresolved
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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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on this area? We have a great opportunity for you at the Department of Civil and Mechanical Engineering (DTU-Construct) of the Technical University of Denmark! We are looking for candidates with a
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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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expertise in analysing/ training models on biological or chemical datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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experimental research-based technology integration, modeling, control, and data-driven analysis and toolset development. Here is the chance to work in a pleasant team atmosphere, dive into research and at
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the experiments. You will also have the opportunity to carry out your own simulations with our numerical model. Qualified applicants must have: A strong drive to move the frontiers of science. Ample experience with