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disorders) with the aim to clinically validate the methods and promote their translation to healthcare. The positions are funded from Research Council of Finland project 'VR2Real: Precision diagnostics
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research profile in inverse problems and computational mathematics. About the job This project focuses on developing advanced methods for uncertainty quantification in inverse problems, i.e., mathematical
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2821,15) to 10.5 (EUR 3832,31) of the NLS salary system, depending on the applicants degree and experience, plus a salary component based on personal performance, which may be a maximum of 45%. The final
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POSTDOCTORAL RESEARCHER POSITION IN ECOLOGICAL STATISTICS We are seeking a postdoctoral researcher to develop methods for analyzing large scale biodiversity and ecosystem function data. Our approach is based
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are seeking a postdoctoral researcher to develop methods for analyzing large scale biodiversity and ecosystem function data. Our approach is based on hierarchical Bayesian models that allow us to integrate
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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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theoretical background and a degree in cell and molecular biology (or similar field) and preferably some practical experience in cell culture and/or functional genomics methods. For the Doctoral Researcher
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. We develop machine learning methods tailored for high-dimensional, multimodal biological data, with applications ranging from single-cell genomics to real-world clinical datasets. We are active
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functional properties of protein-based materials. In this position, you will develop methods for the recombinant production of post-translationally modified structural proteins, investigate their effects
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scheme for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance. The annual gross salary is