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. Computational & Data Analysis: Proficiency with software such as FlowJo and GraphPad Prism is expected. Experience analyzing large-scale datasets (e.g., scRNA-seq, TCR/BCR sequencing) and familiarity with R
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://mountainsinmotion.w.uib.no/ ), but there is also flexibility for the candidate to incorporate additional field data. This PhD project offers a great opportunity to work with large-scale biodiversity and climate datasets
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2 Oct 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Geosciences Research Field Engineering » Geological engineering
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modelling, data-driven climate modelling, and working with large ensembles of climate/weather model output are advantages. The LEAD AI mobility rules must be followed. Outgoing fellowships require
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18 Sep 2025 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Physics and Technology Research Field Physics Mathematics Researcher Profile Recognised
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AI models into complex industrial and urban environments. Expertise in designing distributed architectures for IoT, edge, and cloud. Proficiency in handling large-scale data and optimizing information
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An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . The positions aim is to
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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. The advent of high-throughput sequencing has enabled an unprecedented accumulation of big immune repertoire sequencing data. However, as of yet, we lack the computational methods that help us decode the immune