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demonstrate strong theoretical and methodological capacities as well as documented expertise in computational methods. Experience with high performance computing is strongly preferred. Experience from applied
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in-depth qualitative analyses but also mixed-methods approaches, possibly enabled by emerging AI-enhanced techniques. The PhD project should overall contribute to a better understanding collaborative
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have expertise in at least one of the following research areas: PDEs, numerical methods, optimization, functional analysis, or stochastic analysis Candidates without a master’s degree have until 1st
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a single method for anisotropic flow modelling for both ice and olivine, by mapping CPO parameters directly to anisotropic viscosity parameters. This technique should reduce the computation complexity
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should have hands-on experience with a broad range of methods in molecular biology, cell biology, and biochemistry that may include mammalian tissue culture, immunoprecipitation and confocal microscopy
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of four years with 25% compulsory work (primarily teaching). The candidate will be expected to contribute to the Master’s programme Organization, Leadership and Work (OLA) at the Department
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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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modeling formation dry-out and salt precipitation during CO2 storage. The candidate will work on developing numerical models for salt precipitation at pore- to continuum-scale, with special focus on how
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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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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