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computer vision methods such as optical flow or motion estimation Experience with geospatial data processing (NetCDF/CF, GeoTIFF, xarray, GDAL/rasterio) Experience with GPU computing or deep learning
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General Manager Hector Ulloa, phone: +47 41298837, or e-mail us at skatteforsk@nmbu.no . General Information to applicants via Unsplash Application Send application electronically via the link "Apply
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application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request. The application must
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Professor +47 47 84 03 05 (mobile) arne.klungland@medisin.uio.no Mija Nikolaisen (for inquiries about the electronic application) Senior adviser HR +47 22 85 06 53 mija.nikolaisen@medisin.uio.no Apply
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Unsplash Application Send application electronically via the link "Apply for this job" at the top of this page. This will route you to the University's Web Recruitment System, where you will need to register
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@medisin.uio.no Mija Nikolaisen (for inquiries about the electronic application) Senior adviser HR +47 22 85 06 53 mija.nikolaisen@medisin.uio.no Apply for this job Deadline 22nd April 2026 Employer University
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). The application with attachments must be submitted in our electronic recruiting system, please follow the link “apply for this job”. Please note that all documents must be in English (or a Scandinavian language
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Medicine, Rikshospitalet, Oslo University Hospital +47 48 59 50 77 (mobile) d.p.pandey@medisin.uio.no Mija Nikolaisen (for inquiries about the electronic application) Senior adviser HR +47 22 85 06 53
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attachments must be delivered in our electronic recruiting system (please follow the link “apply for this job”). All documents should be submitted in English. Interviews will be part of the appointment process
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conducted with the candidate's consent. Enquiries may be directed to: Professor Kjell G. Salvanes, email: kjell.salvanes@nhh.no Professor Aline Bütikofer, email: aline.buetikofer@nhh.no Administrative