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Field
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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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phenotyping methods to support agronomy, broadacre crop physiology and trait pre‑breeding. projects. Leading 3D imaging, point cloud analysis and simulation studies, including design of experiments, data
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in Python and/or R Experience with cloud computing and high-performance computing environments Ideal Candidate Profile We are seeking a computational biologist, biostatistician or bioinformatician with
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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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. 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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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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continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate
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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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with cloud computing Willingness to learn new languages and tools as the field grows SUPERVISORY RESPONSIBILITIES: This position will involve co-mentoring of students joining the group as described above
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the DataMines project (Governing data infrastructure and clouds in digitally mediated natural resource extraction and exploitation). The position is for three years, with the possibility of extension for teaching