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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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data analysis or remote sensing Have familiarity with planetary science datasets and/or space mission data Demonstrate analytical and critical thinking, as well as problem-solving Be able to work
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is part of the ERC-funded project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD
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skills in English Desired qualifications: Have knowledge of atmospheric and/or space physics Have experience with spectroscopic data analysis or remote sensing Have familiarity with planetary science
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for remote sensing and uncertainty estimation. Candidates must have a strong programming background. Requirements: PhD in Computer Science or a related field with a strong emphasis on machine learning
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion