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postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data. The project is funded
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methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart management
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Quantitative proteomics workflows Development of LC-MS/MS methodologies Post-translational modification analysis Data-independent acquisition (DIA) approaches Large-scale proteomics studies Laboratory automation
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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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to research methods and quantitative methodology. Further information Potential applicants are welcome to contact Professor Tea Trillingsgaard (e-mail [email protected] or +45 26858554) for further information
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Sheet darkening, and relate them to ice melt at large spatial scales using remote sensing. The postdoc in this project will be the main responsible for the acquisition of data related to snow and ice
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uploaded (optional) References/recommendations can be uploaded separately in the e-recruitment system (optional) We refer to the faculty’s Guidelines for applicants . Aarhus University’s ambition is to be
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
The Department of Digital Design and Information Studies within the School of Communication and Culture at Aarhus University invites applications for a postdoctoral position “Human AI Collaboration
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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 are looking
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with related departments. Contact information For further information, please contact: Professor Troels Skrydstrup, +45 28 99 21 32, [email protected]. Application procedure Shortlisting is used. This means