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entrepreneurship. We have a strong ethical, human, and sustainable approach that ensures integrity in our work. Therefore, we strive for and take responsibility for driving the democratisation of digital
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are The place of work is iNANO, the Interdisciplinary Nanoscience Center (www.inano.au.dk), which was established in 2002 and at present is a major research and education center based at Aarhus University hosting
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Biomedicine, Technical University of Denmark. You will work on regulatory mechanisms of cell signalling downstream of Receptor Tyrosine Kinases using mammalian cells grown in 3D cell cultures and will develop
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, Julia, or Rust, but preferably also one of the languages Fortran/C/C++) are highly desirable, as is a clear motivation to conduct theoretical work at the forefront of contemporary electronic-structure
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postdocs. You will join a new research program on the role of universities and entrepreneurial ecosystems in building deep tech startups and scaleups. You will work towards building a landmark database on
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. The position is funded by POLIMA through its DNRF funding, and the successful candidate will work under the immediate supervision of Professor Christos Tserkezis but is expected to also contribute to other
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and Biomedicine, Technical University of Denmark. You will work on regulatory mechanisms of cell signalling downstream of Receptor Tyrosine Kinases using mammalian cells grown in 3D cell cultures and
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capable of degrading thermoset plastics. This includes in-depth studies of enzyme activity, stability, kinetics, and structure–function relationships. You will also contribute to the development of new
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thereafter. The position is a fixed-term full-time position for 27 months. The Department of Biomedicine prioritises diversity and a good work environment, as this is a prerequisite for groundbreaking research
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modelling low-resource languages. Applicants are also expected to contribute to work on data pre-processing, tokenization, model training. The candidate will be affiliated to the project group ‘Danish