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; treat others with respect, and dignity, and in a manner where individuals feel they belong; listen; value feedback; and learn from the perspectives of others. The stipend will be $70,000 per year based
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of snow across catchment and regional scale areas. The PhD candidate is expected to quantify, through a combination of in-situ and remote sensing observations, as well as climate and snow models of varying
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contemporary retreat patterns influenced by anthropogenic climate change. The research will combine advanced remote sensing techniques with ultra-high-resolution analyses of lake sediments to reconstruct glacier
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remote sensing. The research may range from theoretical to applied and involve the use of measurement and/or modeling approaches. This position will also summarize findings and publish research results in
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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