33 computing-"https:"-"IDAEA-CSIC" "https:" "https:" research jobs at Aarhus University
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://international.au.dk/research/ Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here: http://talent.au.dk/junior
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a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here: http://talent.au.dk/junior-researcher-development-programme/ Terms
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Development Programme targeted at career development for postdocs at AU. You can read more about it here: http://talent.au.dk/junior-researcher-development-programme/ Terms of employment The appointment is made
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curation, orthology inference, phylogenomics, functional annotation, and candidate gene prioritisation across crop species. The selected candidate will develop the computational tools for comparative
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multidisciplinary and multicultural team. Inclusive and open minded. Who we are Further details about the Software Engineering and Computing Systems Section can be found here: https://ece.au.dk/en/research/key-areas
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electron lasers (XFEL). Optical phase change materials can be reversibly switched between amorphous and crystalline states on fast timescales and are enabling materials for emerging photonic computing
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the Research Group for Production and Mechatronics: https://mpe.au.dk/om-instituttet/sektioner/manufacturing-and-mechatronics We Offer Access to well-established research infrastructure, laboratories, and shared
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the opportunity to contribute to an internationally competitive research programme at the interface of proteomics technology development, regulatory protein biology, and cancer research. Expected start date and
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environment with excellent professional and private conditions. Foreign employees can get help and information from the AU International Center (http://www.au.dk/en/internationalcentre ) and Work in Denmark
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factor analysis. Develop robust, shareable bioinformatics pipelines for epidemio-genomic and phylogenomic analyses using genomic & metagenomic datasets and implement them in high performance computing