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in combination with computational biology approaches to generate comprehensive models of gene regulation during development and diseases such as cancer and neurodevelopmental disorders. To learn more
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mentoring students. Qualification requirements The ideal candidate has: A PhD in bioinformatics, computational biology, biostatistics or metabolomics Proven expertise in omics data analysis A history of high
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interdisciplinary research environments with high international impact. We perform world-class research, which contributes with solutions to solve essential societal challenges within the green transition: food
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electricity prices with focus on Nordic electricity market including implementation, test and validation at the DTU Risø HPP facility (possibly in a GPU computing infrastructure) Aid the implementation of IEA
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applicants an exciting opportunity to join our research project to investigate how the difference in kinetics between acetogenic bacteria affect their microbial electrosynthesis performance. The position is
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innovative interdisciplinary research environments with high international impact. We perform world-class research, which contributes with solutions to solve essential societal challenges within the green
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Postdoc position in Materials Characterization for Additive/Subtractive Manufacturing and Sustain...
of materials science, tribology, surface integrity, and durability of engineering components. Our research spans experimental and computational approaches to understand how materials perform under mechanical
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to the establishment and operation of the AU WaveTank facility, as well as research activities in wave loading and wave measurements. Expected start date and duration of employment June 1st, 2025, or as soon as possible
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Postdoc in atmospheric chemistry on investigating the phase behavior of secondary organic aerosol...
. The position is for 1 year, with the possibility for an extension of at least 1 additional year, based on performance and upon mutual agreement. Description of research project This project aims to develop novel
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on existing robotics capabilities in the Section), enabling you to perform high-throughput screening and characterization of the selected sub-library of fungal isolates. To identify the best new host chassis