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collaborators form a multidisciplinary team of experts in plant genetics, physiology, development and computational modelling. How to apply The application should include the following attachments as a single pdf
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-Service (MaaS) ecosystem. The work will integrate deep reinforcement learning, autonomous agent modelling, and multi-objective optimization to enable predictive simulation, real-time resource management
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for modelling, control, and optimisation of next-generation energy conversion systems. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise
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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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atomic-scale engineering of materials. Our focus areas include advanced and functional materials, chemical synthesis, energy storage and conversion, as well as molecular and materials modeling. Within
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algebras, tensor categories, lattice models of statistical physics, conformally invariant random processes, formalization of mathematics (preferably in Lean). The working language of the group is English
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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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methodology for analysing long-term spatially structured data sets within a joint species distribution modelling framework. For more information on REC, please see https://www2.helsinki.fi/en/researchgroups
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distribution modelling framework. For more information on REC, please see https://www2.helsinki.fi/en/researchgroups/research-centre-for-ecological-change/ A POSTDOCTORAL RESEARCHER POSITION IN BIODIVERSITY
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air quality modelling. The project is funded by the Jane and Aatos Erkko Foundation. Research tasks include Developing future emission scenarios for various urban environments; Updating and applying