22 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" Fellowship positions at University of Bergen
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borehole electromagnetic data during drilling. This includes the further development and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed
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and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed in a previous PhD project. In addition to electromagnetic geophysics
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electromagnetic data during drilling. This includes the further development and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed in a previous
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collaborative skills. Applicants must be proficient in both written and oral English. Experience from one or several of the following areas is an advantage: Developing algorithms for CFD solvers (e.g. OpenFOAM
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at the University of Bergen. The Department hosts the Center for Digital Narrative (CDN) , a Norwegian Centre of Research Excellence. The Center focuses on algorithmic narrativity, new environments and materialities
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associated with the Center for Digital Narrative (CDN) , a Norwegian Center for Research Excellence. The Center focuses on algorithmic narrativity, new environments and materialities, and the shifting cultural
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Norwegian Center for Research Excellence. The Center focuses on algorithmic narrativity, new environments and materialities, and the shifting cultural contexts in which digital narratives are received and
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tourism, which in turn affect natural resources, cultural environments, and social development, creating complex, dynamic, interrelated systems that are constantly evolving. Stakeholders in local governance
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development, creating complex, dynamic, interrelated systems that are constantly evolving. Stakeholders in local governance, industry, and community all have a role to play in this transformative process. By
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the surface mass and energy balance of coastal ice caps in Norway, utilising a combination of in situ and remote sensing observations. The PhD candidate will develop and deploy a comprehensive field