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Department of Computer Science, Aarhus University is looking for a Post Doc in Interaction Techni...
A post doc position is available in the Human Centred Computing section at Department of Computer Science at Aarhus University. The postdoc position is part of the Manufacturing Academy of Denmark
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be widely implemented in clinical programs. Job description The aim of this position is to develop new chemical methods for the modification of nucleic acids. This includes the design and synthesis
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-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of eight research sections with
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
and its substrate, the 195 kDa protein complement C5. A series of unpublished cryo-EM structures representing intermediates along the reaction path are available to support rational design of
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ecology, soil science, biostatistics and -informatics, botany and ecosystems Further, we will prefer candidates with some of the following qualifications: Teaching and supervision experience at the BSc and
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with the assistance from the assessment committee chairman, and the appointment committee if necessary, – the head of department selects the candidates to be evaluated. All applicants will be notified
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no later than 11 August 2025. Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the
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no later than 11 August 2025. Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the
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-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of eight research sections with
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. This collaboration fosters a strong interdisciplinary environment across institutions, leveraging complementary expertise in statistical genetics, biomedical data integration, and computational method development