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and at Cornell Tech in New York City. The goal of the program is to support groundbreaking research to develop the foundations of artificial intelligence, machine learning, computer vision, natural
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, conservation biology, global change ecology, evolution, machine learning, or other integrative modern approaches to the analysis of large datasets. The ideal candidate will build a research program that directly
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experience, computer education and /or computer experience. Experience with administrative tasks, including coordinating events. Demonstrated ability to prioritize tasks and meet deadlines. Demonstrated
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educational, business, community and governmental settings as part of program delivery. Speak to relevant organizations about the program as part of program delivery. Teach innovative educational programs with
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sciences, computer science, machine learning, and education research. Research Themes The research themes identified for the NTO postdoc include, but are not limited to, the following: Developing
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of Agriculture and Life Sciences (https://cals.cornell.edu ) at Cornell University with our collective expertise in the environmental and social sciences and a strong program of transdisciplinary, engaged
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. The focus of this position is developing methods to disentangle dynamic, multiscale ecological signals from large, noisy observational data. This work lies at the interface of statistics, machine learning/AI
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is part of the United Auto Workers (UAW) union. The current rate of pay is listed in the collective bargaining agreement here: https://hr.cornell.edu/sites/default/files/2023-04/uaw.pdf and starts
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of lesson plans to deliver high-quality Nutrition Education programming within the established framework. Utilize existing program materials and educational framework to teach the targeted number of adult and
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, particularly of non-model organisms Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data High-throughput screening