11 computer-vision-and-machine-learning positions at Missouri University of Science and Technology
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expectations. Candidate's academic research/teaching interests can include but are not limited to corporate finance, investments, financial markets, and fintech (including IA/machine learning). Evidence of
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genome-based influenza and/or SARS-CoV-2 risk assessment algorithms, designing broadly protective influenza and SARS-CoV-2 vaccines using Machine Learning and Artificial Intelligence, modeling the impacts
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. Our Doctor of Veterinary Medicine professional program boasts a unique curricular structure, which provides nearly two years of hands-on training in the college’s general and specialty clinics
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program. We are looking for a dynamic and dedicated faculty member with expertise in programming, machine learning, artificial intelligence (AI), and/or cybersecurity. The ideal candidate will have a strong
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Information Technology degree program. We are looking for a dynamic and dedicated faculty member for teaching undergraduate Computer Science courses in programming, machine learning, artificial intelligence (AI), and/or
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Competency to utilize computer-based office software and web-based applications, or ability to utilize within a few weeks Applies acquired skills to perform a range of activities for the job Continues to
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, artificial intelligence, computer vision, remote sensing and geospatial data engineering. This position represents a tenure-track position (51% FTE) in the EECS and complements with 49% FTE appointment in IDSI
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
, inclusion, and multicultural excellence Possesses knowledge of best practices and desire to learn and incorporate new service methods Comfortable in the use of computer technology (PyraMED software, email
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Student Design & Experiential Learning This position oversees the daily operations of the student design and fabrication shop, ensuring safety and well-maintained workspace that supports hands
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, machine learning, and plant genomics. Our lab seeks to explore and understand the network of plant genes, their regulation in response to environmental stress at the single-cell level, and the conservation