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are not limited to, Developing new computational methods and analytical tools, with particular emphasis on machine learning and artificial intelligence approaches. Identifying signatures of viral adaptation
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. The overall objectives of the project include: Identify mathematical relationship among normalized difference vegetation index, plant developmental stages and plant health. Develop artificial intelligence
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of the relevant fields (Biology, Biochemistry, Cellular and Molecular Biology, Neuroscience, Veterinary Science, Veterinary Microbiology, Artificial Intelligence, or related field). Degree must have been received
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to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including artificial intelligence (AI) and machine learning, to help
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The qualified candidate will have a bachelor's degree in entomology, microbiology, artificial intelligence, scientific computing, or other eligible discipline. Degree must have been received within 24 months
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biology Experience in machine learning and artificial intelligence Experience with genetics and genomic data Experience with large, diverse datasets and data mining approaches Proficiency in Linux and
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artificial intelligence Experience with genetics and genomic data Experience with large, diverse datasets and data mining approaches Proficiency in Linux and computational programming Strong computational and
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to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including artificial intelligence (AI) and machine learning, to help