111 computational-physics "https:" "https:" "https:" "https:" Fellowship positions at University of Oslo
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
UiO/Anders Lien 5th April 2026 Languages English English English PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion Apply for this job See
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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-supervised by Prof. Marianne Fyhn: https://www.mn.uio.no/ibv/personer/vit/rafalc/ https://www.mn.uio.no/ibv/english/people/aca/mariafy/ Jarli og Jordan/UiO via Unsplash Jarli og Jordan/UiO What skills
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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the University of Oslo, and the Center for integrative neuroplasticity (CINPLA), an interdisciplinary research group spanning physics, neuroscience and computational science. Interdisciplinary competence is needed
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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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Theoretical and Computational Active Matter Physics Apply for this job See advertisement About the position A PhD Research fellowship in in Theoretical and Computational Active Matter Physics for Early Embryo
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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user actions and remote system responses across audio, video and haptic modalities, and (ii) jointly orchestrating network and computing resources to compensate for the gap between physical latency
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, genome editing, trait phenotyping, imaging/microscopy, and computational methods to meet this aim. The project aims to advance the mechanistic understanding of heat stress memory and provide a framework