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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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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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with SAFIRE profiling researchers, aiming to drive a paradigm shift in habitat restoration through transdisciplinary research and societal engagement. Participating in doctoral supervision and education
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. Previous experience working with health data, such as registry data or biomedical imaging. Qualification requirements The qualification requirements for the positions are stated in the University of Turku
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responsibilities Design, implement and benchmark deep machine learning models for large-scale cancer datasets that include genomics, transcriptomics, epigenomics and imaging data Collaborate closely with