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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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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 to contact Alfred
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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
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/simulations). The role involves e.g. signal detection in noisy & interfering environments; signal filtering; signal compression; processing of measured data from mmWave RF signals; radar returns; quantum
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implement state-of-the-art data science principles into dental practice. While our primary focus is on the use of deep learning in (dental) imaging, our work expands into any type of data (e.g. tabular data
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different bioinformatic approaches to investigate and analyze omics data on immune response (central and peripheral) in people with Parkinson’s Disease, using both internally generated data as well as using