51 non-coding-"Data-driven-Materials-Modeling" Postdoctoral positions at Aarhus University
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well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position is primarily research-based but may also involve
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Positions Application Deadline 15 Sep 2026 - 12:00 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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LC-MS platforms available at Aarhus University. Collaborate with both university researchers, clinical researchers and two involved companies. Writing well-documented, reproducible code and
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background in physics and medical physics, and you should have proven experience (through published papers) with the above topics. A high level of coding competences will be required. If your PhD is not yet
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wildlife migrations, altered vegetation, and disrupted San hunter-gatherer territories—that not only shaped and continue to shape Kalahari landscapes, but also the very conditions of anthropological
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
portfolio, applications that do not include uploaded publications (maximum two) will not be considered. Although the Aarhus University application system includes an option to upload letters of recommendation
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demonstrated ability to communicate scientific research results effectively. The ability to work independently as well as collaboratively in a research environment. For non-Scandinavian candidates, a commitment
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to be evaluated. All applicants will be notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the
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the deadline. Applications that are substantially incomplete will not proceed to further assessment Questions about the position If you have any questions about the position, please contact Associate Professor
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• Experience with either WRF, WRF-Chem or bioaerosols is a considerable advantage but not needed for the right candidate • Experience with PyTorch and Tensorflow in Python is an advantage, but not needed