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employment is Aarhus University with related departments. Contact information For further information, please contact: Professor, Daan van Aalten, daan@mbg.au.dk. Deadline Applications must be received
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Work The place of work is Ny Munkegade 120, 8000 Aarhus C. Contact Information Further information about the position may be obtained from / For further information please contact: Dr Simon Wall +45
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Annotation of datasets and downstream integrative data analysis (e.g. pathway mapping of images) Support with teaching and writing publications We seek a candidate with excellent practical skills in MALDI
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possible. Job description You will help with the following tasks: Ammonia cracking experiments Analysis of the gas streams Data Visualization Business Development and finding the place on the market for
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possible. Job description You will help with the following tasks: Ammonia cracking experiments Analysis of the gas streams Data Visualization Business Development and finding the place on the market for
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Aarhus University with related departments. Contact information For further information, please contact: Prof. Anders Bentien, bentien@bce.au.dk, +45 30 36 95 15 Deadline Applications must be received
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Aarhus University with related departments. Contact information For further information, please contact: Prof. Anders Bentien, bentien@bce.au.dk, +45 30 36 95 15 Deadline Applications must be received
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Aarhus University is seeking three postdoctoral fellows for research on metabolic dynamics and pl...
employment The place of work is Gustav Wieds Vej 10, 8000 Aarhus C, and the area of employment is Aarhus University with affiliated institutions. Contact info Applicants seeking further information are invited
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Research Assistant in Physical Computing and Wearables at the Department of Computer Science, Aar...
research is at the cutting edge of Human-Computer Interaction (HCI), personal fabrication, and physical user interfaces. As a research assistant, you will support our research team on implementing a novel
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autocracies. CULTS aims to produce the first-ever systematic analysis of the dynamics of authoritarian personality cults and their consequences. Utilizing, among others, the latest advances in text-as-data