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@dtu.dk You can read more about DTU Space and the division of Astrophysics and Atmospheric Physics at https://www.space.dtu.dk/english/ If you are applying from abroad, you may find useful information
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about DTU Electro at www.electro.dtu.dk . For more specific information on the Quantum Light Sources group, see also https://electro.dtu.dk/research/research-areas/nanophotonics/quantum-light-sources
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on the design and control of a robotic system for the maintenance of DEMO breeding blankets, in close collaboration with key EU fusion partners. https://mpe.au.dk/en/research/key-areas-in-research-and-development
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise
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1 Mar 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Energy, Electric Power Systems and Microgrids Research Field
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central experimental role in the project and work closely with a dedicated postdoc supporting advanced computational analysis and interpretation of data. The position offers substantial scientific
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information here: https://internationalstaff.au.dk/relocationservice/ Please find more information about research opportunities at Aarhus University here: http://international.au.dk/research/ Aarhus University
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the business community. For more information: https://bce.au.dk/en/research an exciting interdisciplinary and international environment at a university that consistently ranks among the world’s best universities
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at universities (only in Danish). Where to apply Website https://aau.varbi.com/en/what:job/jobID:900342/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers
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of multiple simulators and robotic systems. The modelling work demands the ability to analyse diverse types of biomedical data and to develop computational models that capture organ anatomy and behaviour