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Research. The institute hosts core facilities for multiparameter flow cytometery, next generation sequencing, imaging and bioinformatics. The Comprehensive Cancer Center (CCC) of Oslo University Hospital
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closed-loop interventions for health, with extensions to robotic control. The core technical deliverable is a working prototype chip validated for bilateral gait and balance monitoring under controlled lab
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and make particle beams more accessible for uses such as medical imaging. However, reaching very high particle energies in plasma accelerators is challenging. We are offering a postdoctoral position to
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advanced phenotyping, imaging technologies, AI-based analyses, and digital twins. The PhD candidate will work on spring wheat genotypes adapted to Norwegian and northern European growing conditions
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UiO/Anders Lien 9th February 2026 Languages English English English Join a vibrant team at the University of Oslo as a PhD Research Fellow in Deep Learning for geoscience imaging! PhD Research
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experience in marine and polar environments. Experience with image analysis and molecular techniques, as well as taxonomic knowledge of Arctic zooplankton. A record of peer-reviewed publications will be taken
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. candidate will use mammalian cells, organoids, and animal models, and employ a range of approaches, including cell culture systems, diverse molecular techniques, and advanced imaging. The project will involve
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the candidate will apply both wet lab molecular biology, genome editing, trait phenotyping, imaging/microscopy, and computational methods to meet this aim. The project aims to advance the mechanistic
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of images of galaxies with photometric redshifts that can be used to extract the gravitational lensing effect caused by the distribution of dark matter in our Universe. The successful candidate will be
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spatial structures, physical laws, high-dimensional imaging, and clinical covariates. Apply these methods to spatial transcriptomics and fluorescence imaging data to gain a more precise understanding of