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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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, infrastructure regulation, trade) Interest in the geopolitics of cloud infrastructure or digital sovereignty Strong collaboration and communication skills Basic knowledge of quantitative methods (e.g. multiple
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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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empirical, experimental and theoretical methods, together with world-class administrative data on individuals and firms. Some of the work is done in collaboration with revenue authorities, also in African
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using unique novel mouse models, spatial technologies and analytical methods. Postdoctoral Researcher in Functional Cancer Microbiome through the NORPOD program NORPOD is a collaborative postdoctoral
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, or equivalent. They will have training and/or experience in ethnography, qualitative analysis, and the use of non-textual/sensory methods. Period following the completion of doctoral degree must not exceed three
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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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and analytical methods. Host institution and employment: FIMM, University of Helsinki, Finland Collaborating site: MIMS, Umeå University, Sweden Find all information and applyhere . Project 3: Sleep
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disposal strategies and sustainable resource management practices. The project also has synergy the ongoing EURATOM EURAD2 RAMPEC work package, and it is expected that some of the methods developed in HiFi