49 parallel-processing-"LCC-CNRS" Postdoctoral positions at Aarhus University in Denmark
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For further information, please contact: Assistant Professor Pablo Alcón, [email protected] Deadline Applications must be received no later than 30 September 2026. Application procedure Shortlisting is used
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language processing and the use of (multilingual) large language models / transformer-based models. Experience with large-scale data collection (e.g., parliamentary speeches, manifestos, press releases, social-media
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://internationalstaff.au.dk/prearrival/ for information about arriving to and living in Denmark for both the applicants and their potential families. Application procedure Shortlisting is used. This means that after
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about the position, the project, and the research environment. If you need help uploading your application or have any questions about the recruitment process, please contact HR Coordinator Sara Hansson
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Casper Andersen [email protected] For more information about the application and the employment procedure, please contact HR [email protected] The work environment The selected applicant will be based
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see
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close collaboration with the university hospital and the regional hospitals in the Central Denmark Region. We have approx. 30,000 square metres of modern research facilities for experimental surgery and
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contact: Professor Torben Heick Jensen, [email protected], phone +45 60202705 Deadline Applications must be received no later than 1 October 2026. Application procedure Shortlisting is used. This means
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related genome editing approaches to disrupt biological processes that support prostate cancer progression with a focus on metabolism, hormonal and stress response signaling. Preparing samples