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using CRISPR. This will allow for live imaging and pull-downs to enable interactome studies under normal and stressed conditions. Manipulate pathways implicated from the above studies for therapeutic
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LevelPhD or equivalent Skills/Qualifications - Hold a PhD degree in Communication Sciences and related fields. - Proven experience in immersive audiovisual content production processes - Proven experience in
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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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to several rich data resources, including ENACT, N3C, PCORnet, TriNetX, Epic Cosmos, Utah Population Database, University of Utah Enterprise Data Warehouse, and others (https://medicine.utah.edu/research
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microscopy techniques (e.g., spinning-disk confocal microscopy, light-sheet microscopy) analysis of large imaging datasets using advanced image processing and segmentation methods computational and statistical
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prerequisite. English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Candidates
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, methodologies, and tools in both molecular biology and computer vision. In addition, the Center—currently comprising three resident professors, one associate professor, three postdoctoral researchers, and ten PhD
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flows, diffusion models). Hands-on experience in multi- and hyperspectral image processing (e.g., IDL/ENVI) and RTM inversion (e.g., ARTMO) Proficiency in scientific programming using Python, with
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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collaborating groups and propose resolutions. Analysis of microscopic data: image analysis of signaling responses in the host environment and the influence of the innate immune system. Determining the logistics