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Field
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networks and/or edge-cloud continuum Document knowledge about the system performance evaluation of computer systems and networks for interactive applications, preferably with AR/VR/XR, robotics, haptics
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, stereo matching, point-cloud reconstruction and quantitative performance evaluation Perform simulations, experiments, data acquisition and statistical analysis Prepare research manuscripts, technical
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) corresponding to a minimum of four years in the Norwegian educational system Documented experience in computer networks especially in mobile networks and/or edge-cloud continuum Document knowledge about the
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rocket or space experiments cosmochemistry. Background on the physics of cosmic dust, meteor studies, ionospheric studies, in situ measurements, meteorite studies, cloud physics, microscopy, advanced image
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or single-cell genomics analysis. Familiarity with graph neural networks, transformers, generative AI or foundation models. Experience working with cloud/HPC environments, workflow orchestration
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. Familiarity with Salesforce, Marketing Cloud, iwave and CMS platforms. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) and Google Workspace. Knowledge or interest in science, international
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the project leader in the research project - “Development of automated surface waviness detection and analysis from high-density point clouds”. They will be required to: (a) conduct advanced research on
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discipline. Additional Qualifications Experience with running relevant numerical models (GCMs, mesoscale cloud-permitting or large eddy simulations) is desirable. Special Instructions Interested candidates
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), spatial statistics, or cloud computing Experience working in collaborative research teams Valid driver’s license and be able to successfully pass a driver’s record check Physical Requirements & Working
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expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge