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of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with experience in mathematically rigorous
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sequencing data from up to 10,000 trees. We are using birches (Betula) as our model organism, as they have a relatively small genome, they are adapted to their local environments and there are accelerated
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and Environment Research Programme The position is for a fixed term period for 2 years and available from September 2025 onwards (or as agreed). The position is based in the Ecology and Environment
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the benchmarking of continuum modeling code together with GTK. Take part in dissemination, outreach, and teaching activities. Profile of the candidate PhD in relevant field (Physics, Chemistry, Geology, Fluid
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(FIMM) , University of Helsinki, is currently seeking a highly-motivated postdoctoral researcher to join our interdisciplinary team. Project overview This project aims to develop machine learning models
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metagenomics assembly” funded by the Research Council of Finland in the research group of University Lecturer Leena Salmela. We develop models, algorithms and data structures for high throughput sequencing data
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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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to contribute to the preparation of funding applications, supervise/mentor MSc and PhD students and contribute to teaching activities. Requirements We look for candidates in the field of sustainability assessment
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infrastructure data to model how government policy shapes cloud geography. The position can be tailored towards qualitative or quantitative work, depending on the researcher’s background. You will also contribute
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transdisciplinary research on ethnic, cultural, linguistic, religious and socio-ecological diversity. The action aims at offering novel insights into diversity that will contribute to the development of multi-level