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are accepted). References. Contact information for references from the PhD programme or previous employment are encouraged. The application and appendices with certified translations into English must be
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the fellow, supervisor, and co-supervisor by the end of Month 3 of the fellowship, including a plan for the individual research budget, and information on additional funding where applicable. We can offer: An
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/infomedia/ai Applicants are required to familiarize themselves with the research profile of at least one of the InfoMedia research groups About the LEAD AI fellowship programme LEAD AI is the University
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Assurance in Education (NOKUT) and The Faculty of Humanities’ PhD Programme plan. The applicant must both be able to work independently in a well-structured manner and have good collaboration skills
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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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demonstrate good collaborative skills. Applicants must be proficient in both written and oral English. Experience from one or several of the following areas is an advantage: Programming, image processing and
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Fellow in reservoir physics (CCS): Sealing properties of CO2 hydrate in sediments The Department of Physics and Technology at the University of Bergen is inviting applications for a PhD Research Fellow
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work associated with teaching and dissemination of results from the research activities. We welcome applicants with diverse backgrounds, from graduates to people with relevant experience from industry
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of one of these experiments. Visits or short stays at CERN will be a natural part of the work that the candidate commits to. Qualifications and personal qualities: Applicants must hold a master's degree or
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. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in Informatics, Physics or Mathematics, or must have submitted his/her master's thesis for assessment prior