16 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"FEUP" Fellowship positions at University of Stavanger
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quantum computing, aiming to solve small, complex sub-problems using Quantum Process Units (QPUs) while leveraging classical High-Performance Computing (HPC) on data-intensive tasks. With dedicated
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research work Applications are evaluated based on the information available in Jobbnorge at the application deadline. You should ensure that your application shows clearly how your skills and experience meet
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information More information on the position (and project description) can be obtained from Head of Department Tore Markeset, tel: 518 321 91, e-mail: tore.markeset@uis.no or Professor Roger Flage, tel: 518
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perspectives, innovative methodologies, or emerging technologies, the candidate will engage with the museum's archaeological heritage, including data and materials generated through cultural heritage management
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Applications are evaluated based on the information available in Jobbnorge at the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria
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call for projects on language diversity and multilingualism in Norway, a growing research field. The project will add empirical data and analysis to heritage language linguistics, focusing on individuals
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with a full summary of your education and experience, including contact information of two references references, certificates/diplomas and other documentation that you consider relevant Diploma
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participatory ethnography, and comparative case studies. You must be willing to work closely with scholars across methodological divides, and to analyse text data through quantitative and qualitative methods
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testing, instrumentation, data acquisition systems, and numerical or analytical modelling of fatigue damage will be considered an advantage. motivation and potential for research within the field
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, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches, the project will provide practical models for hazard