37 parallel-processing-bioinformatics Postdoctoral positions at Nature Careers in Denmark
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bioinformatics A stimulating, inclusive, and international research environment with structured mentoring and career development support Competitive salary and social benefits according to the collective agreement
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
twinning for production and process optimization. A first-of-its-kind pilot factory is now based at Aarhus University (AU Viborg), and has been equipped with about 200 sensors and a production management
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. Possible tasks include modelling and/or operating bioreactors for conversion of H2 and CO2 to e-methane. A background within microbial catalysis, gas-liquid mass transfer principles, process modelling
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Are you a chemist or chemical engineer interested in biofuels and process development? The Department of Biological and Chemical Engineering invites you to apply for a two year position to
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these issues. The center brings together experts on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University of Copenhagen, as
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. Contact information For further information, please contact: Professor, Jens Stougaard, stougaard@mbg.au.dk Deadline Applications must be received no later than 27 November 2025. Application procedure
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. Thibault Viennet by email at thibault@chem.au.dk . Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee
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, Denmark. For further information contact line manager Barbara Vad Andersen, phone +45 30707860, E-mail: barbarav.andersen@food.au.dk Application procedure Short-listing is used. This means that after
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on aspects of fracture processes, stochastic material behavior, and the development of physics-based models that can bridge the gap between continuum mechanics descriptions and disorder-driven statistical
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collected from the fields of different spatial scale and use and process digital data. We expect that you will be an important part of the research environment and that you will contribute positively