98 data-"https:"-"https:"-"https:"-"https:"-"Central-European-University-(CEU)" positions at Aarhus University
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). Example projects you will be working
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documents, spatial data, and AI-enabled workflows including vLLM-assisted transcription, annotation and automated georeferencing. The project is hosted at the Department of History and Classical Studies and
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, collaborating with researchers, policymakers, industry partners, and farmers who all work on translating complex data and modelling results into actionable insights. Key responsibilities Develop and apply
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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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reference If you want a referee to upload a letter of reference on your behalf, please state the referee’s contact information when you submit your application. We strongly recommend that you make
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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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Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you: To be successful in this role, we
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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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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