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issues of learning by developing and applying the latest data and AI-based technologies and methods? Applicable research fields: Learning Analytics, Computer Science / Information Technology, Mathematics
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; Applications of AI methods in energy systems and in manufacturing industry only Postdoctoral Researcher Kai Puolamäki (UH) explainable artificial intelligence; uncertainty quantification; machine learning in
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methods including single-cell genomics and computational tools will be used to address the questions. Who we are looking for A relevant doctoral degree; e.g. bioinformatics, biostatistics, immunology, life
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of Oslo, recently expanded to the University of Helsinki. The group specializes in developing computational methods to understand the regulatory mechanisms driving cancer heterogeneity and progression by
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methods, biometry, and environmental statistics. The department is a member of the networks of the Finnish Centre of Excellence in Inverse Problems , of the Finnish Centre of Excellence in Randomness and
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tackle challenging problems to achieve common goals. Doctoral degree in a relevant field. Documented experience in experimental research is required; previous experience in relevant methods of molecular
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skills (R or other relevant programming language) Knowledge of common molecular biology research methods Proven ability to conduct independent research and publish in internationally recognized scientific
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innovative person with a vision of longer-term research needs. You are eager to work with new topics and methods, even out of your comfort zone to achieve the set ambitious goals. With VTT, you’ll enjoy