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20th June 2025 Languages English English English We are looking for a PhD Candidate in Integrated Intelligent Monitoring Systems for Water Quality Dynamics in Fjords Apply for this job See
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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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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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—prior expertise in only a subset is perfectly fine. Design and characterize cycle. Use AI-guided protein design to create and refine metalloprotein scaffolds; express and purify variants; integrate
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to a master’s degree with a scope of 120 ECTS credits, which builds on a bachelor’s degree with a scope of 180 ECTS credits (normally 2 + 3 years), or an integrated master’s degree with a scope of 300
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: id.jobbnorge.no Databehandlingsansvarlig: Microsoft, ASP.NET Formål: Støtter integrering eller "embedding" av en tredjepartsplattform på nettsiden. Personvernregler for databehandling: Microsoft, ASP.NET
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builds on a bachelor’s degree with a scope of 180 ECTS credits (normally 2 + 3 years), or an integrated master’s degree with a scope of 300 ECTS credits (5 years). Master’s degrees must normally include
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description of how the visit abroad is integrated and how it will add value to the project For further information about the evaluation criteria please visit here Qualifications and personal qualities
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integration of signal processing and machine learning methodologies aiming to interpret distributed acoustic sensing (DAS) data from production wells (both new and previously acquired sensor data). The main use
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large datasets, and applying AI approaches (e.g. machine learning, image segmentation, multimodal AI data integration) will be considered advantageous. Strong skills in communicating scientific results