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following areas: plant biology and spectroscopy, evolutionary biology, bioinformatics, biochemistry, functional genetics, plant physiological ecology and remote sensing. All candidates must have received a
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resources exploration, to subsurface monitoring, as well as nondestructive testing and medical imaging. However, our current ability to create detailed images of the interior of such bodies from remote
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arranged in consultation with the successful candidate, with consideration of individual circumstances. Tasks performed in Toronto will include performing remote detector monitoring and operation in real
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, micro-meteorology, Earth system modeling, and/or satellite remote sensing is an advantage. Experience with fieldwork in challenging environments is an advantage. Language requirement: Good oral and
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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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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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. 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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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion