14 parallel-computing-numerical-methods uni jobs at Aarhus University in computer-science
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with quantitative methods and data management have experience with programming, for example in Python, R, or similar have an interest in AI, generative AI, learning technology, or business analytics
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The Department of Computer Science, Aarhus University invites applications for postdocs, funded by Professor Anders Møller’s ERC Advanced Grant project “Program Analysis for Software Supply Chain
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Want to show what student life at the Department of Computer Science is really like – the good, the challenging and the fun? And do you know what makes content work for a student audience on
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Are you interested in developing new, innovative methods to automate acoustic detection and classification of sounds from marine animals? Do you want to help enable effective conservation and
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for Statistical and computational Methods for Advanced Research to Transform biomedicine (SMARTbiomed) within the field of statistical and machine learning methods development for genetic analysis and causal
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(High Frequency) Commodity Markets Quantum Computing in Finance Artificial Intelligence in Finance Risk Management and Financial Engineering Quantitative Methods in Economics Business Operations Logistics
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initiatives (e.g. the International Polar Year 2032-33) Integrating novel tools and methods into research and advice to Greenlandic and Danish authorities, including AI-driven data analysis, process-based
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proteomics as well as validation of analytical MS methods are considered a plus experience in nutrition is considered an advantage About us The Department of Food Science is part of the Faculty of Science and
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description ATTENTION: Contact persons
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researchers, staff, and students on analytical, technical, and teaching-related tasks. Responsibilities include both data-related work and practical technical tasks, such as maintaining computing infrastructure