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working relationships, networking and social activities characterized by professionalism and equality. Aarhus University offers a good work-life balance. English is spoken widely, even if Danish is the main
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will be using metabarcoding for the analysis of microbiomes from field and greenhouse experiments, and you will integrate data on microbiome composition, nematode infestation, plant performance, plant
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collaborators a research climate encouraging lively, open and critical discussion within and across different fields of research a work environment with close working relationships, networking and social
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working relationships, networking and social activities characterized by professionalism and equality. Aarhus University offers a good work-life balance. English is spoken widely, even if Danish is the main
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will be using metabarcoding for the analysis of microbiomes from field and greenhouse experiments, and you will integrate data on microbiome composition, nematode infestation, plant performance, plant
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and technicians to solve analytical challenges and develop, optimize, validate and apply analytical methods to evaluate food safety. Key Responsibilities - Perform trace-level analysis of organic
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, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for
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community network. Furthermore, we regularly enjoy social activities together outside of working hours. Responsibilities and qualifications The project aim to study the application of metal-organic thin films
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postdoctoral position in methods development and analysis of multi-omics and clinical data for inflammatory skin diseases. The start date is October 1st, 2025, or as soon as possible thereafter. Research context
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postdoctoral position in methods development and analysis of multi-omics and clinical data for inflammatory skin diseases. The start date is October 1st, 2025, or as soon as possible thereafter. Research context