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developed will be based on pseudonymization, anonymization, and synthetic data generation. Using real health data as a source of information, we aim to create test datasets and statistical models
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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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Centre at the University of Turku invites applications for contract-based, fixed term senior researcher or doctoral researcher position from 1.11.2025 to 31.8.2029. Employment starts on 1.11.2025 or as
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computing in large-scale omics data analysis. Your work will focus on method development and their application to biomedical research questions. Key responsibilities include: analyzing and modeling large
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researchers are recruited internationally through an open, transparent, and merit-based recruitment process based on external anonymous peer review. Successful applications will be selected based on academic
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oriented field relevant to the project, such as computer science, mathematics, statistics or physical sciences. Expertise in machine learning based and statistical data analysis, including the capability