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Aarhus University with related departments. Contact information For further information, please contact: Prof. Anders Bentien, bentien@bce.au.dk, +45 30 36 95 15 Deadline Applications must be received
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new platforms to unleash the power of microbial metabolism and physiology to find scalable solutions for CO2 capture and conversion? Come and be part of the team of Prof. Alfred Spormann in
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computing (HPC), and AI are strategic focus areas. At the department, you will be part of a technical team with other academic technicians, who work with large amounts of data, both from computational and
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₂ Research Center (CORC). The successful candidate will contribute to the HyperCap research program by developing improved and cost-efficient synthesis routes for thermodynamic promoter systems used in gas
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part of the team of Prof. Alfred Spormann in the Department of Chemistry at the NNF CO 2 Research Center (CORC) to engage in cutting edge systems-level research in microbial C1-6 metabolism! Starting
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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The Goesten Group at the Department of Chemistry, Aarhus University, is seeking a candidate for a 12 months fulltime postdoctoral position, co-supervised by Prof. Yong Chen and Prof. Jill Miwa
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of Chemistry, and the group of Prof. Hobolth at the Department of Mathematics. A second postdoc with expertise in stochastic processes and statistical methods will be part of the project and you are expected
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research ethics, and commitment to research quality. Who we are The Computational Physics and Machine Learning Lab led by prof. Lucantonio is a newly established group within the Mechanics and Materials
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and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars