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The objective of the research project is to update the methods for monitoring carbon sinks in the land use sector to obtain more accurate information about the status and changes in carbon stocks
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methods tailored for different types of multivariate data, such as time series, spatial data, spatio-temporal data, functional data or tensor-valued observations. The work of the postdoctoral researcher
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
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use a variety of molecular and cell biological methods together with bioinformatic approaches to evaluate the zoonotic potential of newly discovered henipa-like viruses in shrews. As a PhD student, you
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experience during their PhD and postdoc periods. The selected group leaders are expected to initiate a new independent research program in one of FIMM’s research fields. Background FIMM is a leading molecular
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-cancer data network analysis. The Kuijjer group, established in 2018 at the University of Oslo, has recently expanded to the University of Helsinki. The group specializes in developing computational
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the fields of medicine, life sciences, social sciences as well as computer and computational sciences to promote scientific and societal impact. We provide mechanistic, individualized, preventive and
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the doctoral degree is expected. Scientific competence in developing artificial intelligence methods, with proven publication record in scientific venues in the field, as well as programming skills. Publications
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applications. Addressing food and nutritional security requires novel ways of producing sustainable, safe, affordable, healthy and flavourful food. Europe alone faces numerous challenges related to the rise in
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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