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environmental data Processing and analyzing large-scale remote sensing datasets from UAV, satellite, and ground-based sensors Leveraging artificial intelligence, e.g. machine learning, reinforcement learning
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PhD in ecology, remote sensing, environmental sciences, or a related field is required at the time of appointment. Experience: The ideal candidate will have a track record of working independently
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contributing to ongoing work to advance the lab. Education: PhD completed within the last 5 years. Preferably within the field of nutrition or public health nutrition. Experience: The selected candidate should
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and/or theriogenology. A degree in Veterinary Medicine will be an advantage but not required. Preference will be given to candidates who are within three years of their PhD Experience: To enhance