37 computer-science "https:" "https:" "https:" ";" positions at Michigan State University
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researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming (PLF
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Department of Computer Science and Engineering (CSE). Applications will be considered at all ranks (Assistant, Associate, and Full Professor), with particular interest in candidates who bring several
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, computer science, environmental science, environmental engineering, geography, geology, horticulture, soil science or related fields Minimum Requirements An earned Ph.D. in agronomy, biosystems
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, chemistry, computer science, environmental science, environmental engineering, geography, geology, horticulture, soil science or related fields Minimum Requirements An earned Ph.D. in agronomy
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, disability or protected veteran status. Required Degree Doctorate -Chemistry, Computer Science or related field Minimum Requirements Ph.D. in Chemistry, Computer Science or related field. Computer
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Position Summary(Basic Job Function) This is a temporary or an on-call position. Provides professional support. Responsibilities may include general business, science, medical, agricultural or other
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Qualifications: MS in Computer Science, Electrical and Computer Engineering, Electrical Engineering, or related field (or equivalent industry experience). 3+ years production experience with speech/audio ML
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Mathematics or an equivalent area, such as computational chemistry/biology/biophysics and computer science. Applications will be considered from any of the focus areas: AI-based drug design and
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, feed, and blood samples for analysis; this job requires excellent verbal communication skills to address client questions and computer fluency to use the lab LIMS system to track specimen in the lab
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on undergraduate education, experiential learning, and recruitment of our programs and department. Courses may include agronomic computer applications, introduction to crop science, weed science, crop