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of Advanced Mathematics for Sensing, Imaging and Modelling (2024–2031). The group is also supported by a Research Council of Finland Fellowship under the project SPARSe (2025–2029), further strengthening its
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, funded by the Research Council of Finland, synergizes modern computational methods for analyzing large histological image volumes, new magnetic resonance imaging techniques, and statistical physics
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models using sophisticate genetic tools, in vivo time-lapse imaging and multi-omics methods to decipher the underpinning mechanisms of regeneration. Our findings provide new targetable mechanisms
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of soil amendments on soil structure using X-ray tomography and image analysis. The position starts on November 1, 2025, or as soon as possible thereafter, for a fixed term of up to four years. The doctoral
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settings. Using advanced compressed sensing techniques and machine learning methods, PulseZTE will make it possible to image neural activations and vascular pulsations simultaneously. It will also enable
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role is to see the big picture and communicate it convincingly to both internal and external audiences. At the same time, you will serve as a bridge between LUT’s research community and international
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of life science research with state-of-the-art research core facilities in genomics, biological imaging and structural biology. According to the 2024 Times Higher Education World University survey
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intelligence. The project also aims to expand this modelling framework for spatially continuous forecasting by combining information from satellite images and species communities. Methodological research is
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), including the brain and spinal cord, using advanced imaging methods. By developing a novel functional magnetic resonance imaging (fMRI) technique, this project aims to simultaneously capture activity in
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). We are seeking a highly motivated researcher to join our team. We use a wide range of molecular, cellular, transcriptomic, and advanced imaging techniques, in combination with ex vivo and in vivo