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, cell culture, omics-methods (RNAseq), flow cytometry, other immunological methods and mouse colony management is required. The applicant should be highly motivated and have the ability to work
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mathematical physics, including their formalization. This position is associated with Kalle Kytölä’s research group, part of the Finnish Centre of Excellence in Randomness and Structures (FiRST). The starting
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quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive
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. Probabilistic techniques in mathematical physics, including their formalization. This position is associated with Kalle Kytölä’s research group, part of the Finnish Centre of Excellence in Randomness and
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. The main research responsibilities include the development of novel methods and analysis of remote sensing data to monitor water table dynamics and biophysical properties of northern peatlands, from local
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research group of Professor Juho Rousu. The position allows the successful applicant to choose a flexible balance between advanced machine learning method development and exciting applications on molecular
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(5) position open for three-year (36 months) postdoctoral researcher positions at the University of Eastern Finland’s Kuopio campus in the research areas of Prevention & Care and Methods & Data
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publications and conference presentations The candidate is expected to have Education, experience and technical skills A relevant PhD degree with previous experience with crop physiological methods, plant-soil
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design and analyse separation processes, develop data-driven or AI-assisted tools, or generate high-quality experimental data that supports method development, modelling, and machine learning. You will
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the Finnish Center for Artificial Intelligence . His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often