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. Applying quantitative and modeling approaches (e.g., paleoclimate, landscape, or ecological niche modeling) to interpret ecosystem dynamics. Contributing to grant proposal preparation and co-authoring
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Doctoral Researcher in statistical signal processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from
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task of the Postdoctoral Researcher is to develop models in sexual selection theory. In particular, the aim is to seek a common causal and mathematical structure that applies across models of sexual
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funded by the ERC consolidator grant project CONFSTAT – Conformally invariant and near critical models in statistical field theory. The work of the postdoctoral researcher will focus on studying
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immune-system related diseases such as immunodeficiency and cancer. We use a wide range of techniques such as mouse models, tumor models, in vivo immune cell migration and other functional assays, flow
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Doctoral Researcher in statistical signal processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from
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of Advanced Mathematics for Sensing, Imaging and Modelling (2024–2031). The group is also supported by a Research Council of Finland Fellowship under the project SPARSe (2025–2029), further strengthening its
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forces—such as those predicted by physics beyond the Standard Model. Distant, coupled microwave optomechanical systems can also be utilized for quantum information transmission. In this project, two
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, metabolism and microbiota. Our methodological approaches include cell cultures, animal models and randomised controlled trials. Responsibilities and qualifications We are looking for a motivated postdoctoral
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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