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Contact City Trondheim Website http://www.ntnu.no Street Høgskoleringen 1 Postal Code 7491 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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of BiosciencesCountryNorwayGeofield Contact City Oslo Website https://www.mn.uio.no/ibv/english/ Street PO box 1072 Blindern Postal Code NO-0316 E-Mail rafal.ciosk@ibv.uio.no STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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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 Theoretical AstrophysicsCountryNorwayGeofield Contact City Oslo Website https://www.mn.uio.no/astro/english/index.html Street PO box 1072 Blindern Postal Code NO-0316 E-Mail h.a.winther@astro.uio.no d.f.mota
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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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Learning for Medical Imaging and Multi-Modal Data in Cancer Research Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep Learning available at the Department
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
to describe transitions between collective and singlecell invasion in confined and mechanically heterogeneous environments Calibrating and validating models using experimental data from imaging, biosensors, and
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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 both internal and
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data from live imaging and spatially resolved gene expression profiling. The work of the PhD fellow will be theoretical and computational in nature and will include: Developing minimal active-matter