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Position Description The group of Egor Babaev anticipates for several postdoctoral research associate positions in theoretical condensed matter physics. Our research interests are superconductivity
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are associated with de novo and therapy-induced paediatric and adult acute leukaemia, making them an unmet clinical need. Commonly, such rearrangements are balanced translocations that fuse MLL1 with another gene
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genome integrity, cellular identity and the capacity to reactivate gene expression remains poorly understood. The project will investigate chromatin and transcriptional changes associated with entry
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remains poorly understood. The project will investigate chromatin and transcriptional changes associated with entry into and recovery from the desiccated state, using resurrection plants and potentially
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Description of the offer : Project description: Spin-polarized electrons form the basis of spintronics, that has enabled ultrahigh-density magnetic memory storage and precision sensing. In addition, the orbital angular momentum is also a quantum property that can be harnessed to create novel...
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Machine Learning group at TDB and SciLifeLab (Associate Professor Prashant Singh), which develops methods and software for simulation-based inference, generative models and robust machine learning, together
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to understand disease resistance and local adaptation across Europe. The project combines large-scale population genomics, graph-based pangenomics, structural variant discovery, genome-wide association studies
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will be carried out in close collaboration with Associate Professor Gerod Jäger. Beyond this, the postdoctoral scholar will be encouraged to interact with other members of the Discrete Mathematics group
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position. Starting date 1 November 2026 or as agreed. Placement: Uppsala For further information about the position, please contact: Associate Professor Prashant Singh, [email protected]; Head
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of boreal ecosystems and implications for practice) funded by Formas and supervised by principal investigator Associate Prof. Lenka Kuglerová. The project interdisciplinary team includes expertise in