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annonser som er relevante og engasjerende for den enkelte brukeren, og dermed mer verdifulle for utgivere og tredjeparts-annonsører. Databehandlingsansvarlig: Youtube, Google Formål: Samler informasjon om
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. • Strong expertise in geospatial data analysis and machine learning techniques applied to Earth Observation data. • Proficiency in geospatial software and platforms such as QGIS, ArcGIS, or Google Earth
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evidenced by publications, preprints, or clearly defined completed work on CV and Google Scholar ● Contributions to open-source software, reproducible pipelines, or publicly available tools (e.g
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. Excellent communication skills and ability to work in a multidisciplinary environment. Familiarity with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC
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to the React framework, Javascript/HTML/CSS, concurrency management. Experience in backend engineering, including but not limited to Django, flask, databases (PostgresSQL/MongoDB/Redis), designing API endpoints
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to Earth Observation data. • Proficiency in geospatial software and platforms such as QGIS, ArcGIS, or Google Earth Engine. • Programming skills in Python or similar scientific computing environments
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skills in Python and/or R. Experience with Google Earth Engine. Ability to work both independently and collaboratively in an international research team. Ability to write and communicate in English
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and Supply (SAASP). Duration: 36 months (full-time) Expected start: April 2026 (flexible) How to apply Applications should be submitted only through the Google Form: https://docs.google.com/forms/d/e
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this postdoc, and ○ why that research would fit with this position. An academic CV including a working Google Scholar profile URL; A recent writing example (typically a paper) that you are proud of and reflects
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-index of 27 (Google Scholar).