266 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Montana State University
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Computer Supp Spec II Working Title Computer Support Specialist II Brief Position Overview As part of the University IT team (UIT) In support of the College of Agriculture and the Montana Agricultural
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Computer Supp Spec II Working Title Computer Support Specialist II Brief Position Overview As part of the University IT team (UIT) In support of the College of Agriculture and the Montana Agricultural
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Classification Title Student Support Specialist Working Title Good Relations Learning Community Coordinator Brief Position Overview The Department of Native American Studies is seeking a Good Relations Learning
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Title Computer Supp Spec II Working Title Computer Supp Spec II Brief Position Overview The College of Letters and Science is looking for an energetic, collegial, customer-oriented IT Professional who is
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Classification Title Computer Supp Spec III Working Title Computer Support Specialist III Brief Position Overview The Computer Support Specialist delivers IT support across multiple channels (phone, tickets, walk
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) instructors to teach one or more of the following courses GibbsCAM Machine Shop CNC Turning CNC Milling Tooling for CNC CNC Lathe Operation CNC Milling Programmer Required Qualifications – Experience, Education
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, artificial intelligence and machine learning, communication systems, complex systems and control, digital signal processing, embedded computing, mixed signal design, MEMS/MOEMS, optics and optoelectronics
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genomics, population genetics, and machine learning. The successful candidate will contribute to method development, software dissemination, and scholarly publications. Duties and Responsibilities Lead
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Responsibilities Soil Functional Type (SFT) Framework Development Compile and harmonize global observational soil databases in support of SFT framework development. Apply (unsupervised) machine learning methods
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Responsibilities Soil Functional Type (SFT) Framework Development Compile and harmonize global observational soil databases in support of SFT framework development. Apply (unsupervised) machine learning methods