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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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the entire population. The project utilises advanced statistical methods such as multilevel models (mixed models), fixed-effects models, cluster analysis, and sequence analysis. The selected researcher is
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is looking for a postdoctoral researcher, doctoral researcher or project researcher to develop machine learning methods for health data analytics. The fixed term position starts on mutual agreement
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thesis but who have not yet formally been awarded the doctoral degree are not eligible to apply. Eligible applicants hold a Master’s degree or an equivalent degree in relevant discipline for HAIF. Possible
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compared with observations, offering a powerful way to test our theories. The combination of novel AI methods and broad statistical analyses will help us pinpoint the exact roles of solar flares and coronal
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(Utuling) is to provide PhD training for language specialists in a world of multilingualism and multiculturalism, where encounters between different languages and their speakers are increasingly important
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acquired extensive knowledge of modern and applied molecular medicine, developed skills to critically interpret research data, and master key research methods relevant to their research. Thoroughly
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Inequalities, Interventions and New Welfare State (DPInvest) is a cross-disciplinary, international PhD programme aimed at educating such specialists in social and behavioural sciences. The doctoral programme
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to critically interpret research data, and master key immunological methods. Thoroughly understand the impact of immunology on the economy and society. Have a clear understanding of the entire lifecycle
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academic structure and working methods meet the recommendations on the development of doctoral training given by the Academy of Finland. The University of Turku is an inspiring and international academic