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based at the Finnish Museum of Natural History LUOMUS at the University of Helsinki, Helsinki, Finland. The postdoctoral researcher will join the IsoMuseomics project , and work under the supervision
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Research Infrastructure? No Offer Description The University of Oulu is a multidisciplinary, international research university, with about 4000 employees who produce new knowledge based on high-standards
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evolutionary cell biology. Our ERC-funded project uses pigment cells in tropical cichlid fishes as a powerful model to uncover how complex cellular phenotypes and developmental programs evolve. We integrate
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
cutting edge machine learning techniques for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable
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systemic metabolic functions in the body during aging. Using mouse models, flow cytometry, RNA/DNA sequencing, proteomics, metabolomics, immunofluorescence microscopy, HSC transplantation and assays
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-oriented research. Our work bridges theory and practice, addressing issues from biodiversity governance and environmental justice to nature-based solutions, eco-acoustics, serious games and multispecies
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biology, multiomics and single cell methodology to drive projects focusing on modelling leukemia and immune cell dynamics with the goal to develop new personalised medicine approaches. As our new
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and the services they provide. The successful candidate will play a key role in developing and applying economic models to assess impacts of biodiversity change on ecosystem service provision
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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for a fixed-term period of 36 months, starting in May 2026. This position is based at the Multimodality Research Group in the Department of Languages and funded by an ERC Consolidator Grant awarded