6 machine-learning-phd Postdoctoral positions at Colorado State University in United States
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research. This exciting position offers a unique opportunity to develop cutting-edge Knowledge Guided Machine Learning (KGML) methods informed by ecosystem modeling of agroecosystem carbon and nitrogen
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graduate students (about 60% PhD and 40% MS). Ten new faculty members (7 tenure-track) have joined the department since 2015. Research activities within the department are supported by the NIH, the American
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students is created with thoughtful and innovative curricular design, emphasizing experiential learning where appropriate and fostering student achievement. We strive for a positive and collaborative
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have: Expertise in processing optical remote sensing data over large areas and using machine learning models for predicting ecological metrics Strong background in remote sensing in hyperspectral imaging
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the ARC. Required Job Qualifications Applicants must have a PhD degree in a related field by the position start date. Preferred Job Qualifications Essential Duties Application Details Special Instructions
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graduate students (about 60% PhD and 40% MS). Ten new faculty members (7 tenure-track) have joined the department since 2015. Research activities within the department are supported by the NIH, the American