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contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and
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For further information, please contact: Professor, Kasper Røjkjær Andersen, kra@mbg.au.dk. Deadline Applications must be received no later than 4 June 2025. Application procedure Shortlisting is used
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an international, dynamic team. Your profile Applicants should have an interest in the molecular mechanisms of RNA modifications and how these could be targeted for therapeutic use. Candidates should hold a PhD
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writing, scientific communication, and laboratory leadership. You will attend local and international scientific conferences. Your profile Applicants should hold a PhD in neurobiology or proteomics
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development of Biologics. A critical challenge preventing this is the current limiting volume of high quality and well-characterized in-vitro T cell immunogenicity data. In this project, we will benefit from
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information For further information, please contact: Assoc. Prof. Marianne Glasius, +45 2127 5261, glasius@chem.au.dk. Application procedure Shortlisting is used. This means that after the deadline
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
foundation in multiple cryo-EM structures. Here the postdoc will work closely together with a PhD student dedicated to this project. The single molecule data will be obtained by the postdoc at a local state of
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, processing, and analyzing remotely sensed data. Documented experience in scientific writing and publication in peer-reviewed scientific journals. Capacity to work independently and collaboratively within a
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collaboration between research groups at several departments at Aarhus University. For further information, please contact Professor Kurt Gothelf +45 60 20 27 25 kvg@chem.au.dk Application procedure Shortlisting
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observations, and remote sensing data to assess the impact of global change on ecosystem productivity and sustainability. You will develop novel algorithms to integrate data-driven machine learning and process