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funding from Petrolia NOCO. About the project/work tasks: The position is affiliated with the project “Reservoir and Seal Characterization & Prediction: An Integrated Workflow Combining Flow-Facies Analysis
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between Computer Science and Information Systems. The existing installed base of offshore energy systems on the Norwegian Continental Shelf is increasingly integrated with the onshore electric grid systems
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components of offshore wind turbines integrated with advanced data processing system and decision support where system properties are identified and monitored in near real time scenarios. Operational modal
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Information Systems. The existing installed base of offshore energy systems on the Norwegian Continental Shelf is increasingly integrated with the onshore electric grid systems. The Norwegian government’s
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. We are looking for candidates with a Medical Degree with an interest in interdisciplinary approaches that integrate genetic and immunological studies to solve clinical problems. Qualifications and
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interdisciplinary approaches that integrate genetic and immunological studies to solve clinical problems. Qualifications and personal qualities: The applicant must possess a Master`s degree or an equivalent in
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clearance to the seabed or sea surface can strongly affect performance, structural integrity, and fatigue life. These effects vary with water depth and turbine concept. This PhD project will investigate how
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surface can strongly affect performance, structural integrity, and fatigue life. These effects vary with water depth and turbine concept. This PhD project will investigate how realistic inflow conditions
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protein design to create and refine metalloprotein scaffolds; express and purify variants; integrate experimental feedback to iterate designs. Activity & structure. Develop robust assays, quantify kinetics
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to develop intelligent systems that are both data-efficient and physically consistent. The successful candidate will contribute to advancing novel methodologies that integrate domain knowledge with learning