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                17 Sep 2025 Job Information Organisation/Company University of Oslo Research Field Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Norway Application Deadline 
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                Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Norway Application Deadline 24 Nov 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 
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                » Learning studies Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Norway Application Deadline 30 Nov 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full 
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                8 Sep 2025 Job Information Organisation/Company University of Bergen Department Geophysical Institute Research Field Engineering » Computer engineering Physics » Metrology Physics Researcher Profile 
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                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 dine på 
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                position The postdoc will develop an independent research project that aligns with the overarching aims of DRESS and we seek candidates who demonstrate strong interdisciplinary and creative thinking skills 
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                and Knowledge Conference (pp. 929-935). About the LEAD AI fellowship programme LEAD AI is the University of Bergen's career and mobility fellowship program for training 19 postdoctoral fellows in 
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                complex learning systems. In Proceedings of the 14th Learning Analytics and Knowledge Conference (pp. 929-935). About the LEAD AI fellowship programme LEAD AI is the University of Bergen's career and 
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                Application Deadline 15 Oct 2025 - 23:00 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU 
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                tool in such applications, but the computational cost of producing ensembles at high enough resolution and with enough members to adequately sample internal variability and capture rare events is a