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and other members of the probability and analysis groups. Projects may include, but are not limited to: Analysis on metric spaces including fractals Heat kernel estimates and functional inequalities
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to apply. Strong programming skills, expertise in spectroscopic data reduction and analysis, and a demonstrated ability to work independently and collaboratively are highly valued. Flexibility and self
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. The starting date is 1st March 2026, or subject to mutual agreement. The research project This postdoc position is part of a Novo Nordisk funded project that aims to uncover how the regulation of photosynthesis
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palaeoproteomics to commence on 01/02/2026, or as soon as possible afterwards. The position is part of the DFF Sapere Aude project MiddleEarth, which aims provide unique insights into the hominin occupation
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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning for improving
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interdisciplinary project exploring how maternal immune activation affects fetal development through immune and metabolic pathways. The position is part of a collaboration between the Sandelin group (University
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can use and combine various cutting-edge data modes such as single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing. The candidate will get the opportunity
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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the metabolism of gas fermenting microorganisms, with a focus on C1 metabolism. You will work independently on the development of high impact research projects. You will use state of the art equipment
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bioinformatic analysis of NGS data. Hands-on experience in generating high-quality ChIP-seq data. Hands-on experience in culturing mammalian cells. Experience in molecular biology techniques, including use