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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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properties and optical signatures in the environment, relevant to ocean biogeochemistry and remote sensing. May participate in work at the interface of ocean optics, marine biogeochemistry, and instrument
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. Experience with land-surface models, micro-meteorology, Earth system modeling, and/or satellite remote sensing is an advantage. Experience with fieldwork in challenging environments is an advantage. Language
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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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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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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion