138 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at University of Nevada, Reno
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unique working environment that is both exciting and challenging. It is a great way to meet new people and learn more about the campus and Reno community. As a department of ASUN, it affords its student
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and move heavy packages, and communicate effectively with others in person and on the telephone. The successful applicant will also have general knowledge of basic computer functions, calculator
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undergraduate research. For more information, please visit: https://www.unr.edu/undergradresearch Contact Information Staci Sipaila at ssipaila@unr.edu Exempt No Full-Time Equivalent 100.0% Required Attachment(s
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, securing experiential learning opportunities, and collaborating with Sierra Nevada Corporation on the development of a new digital platform for small businesses. The director will also lead the hiring and
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& Environmental Science offers a variety of undergraduate and graduate programs to educate, inspire and prepare the next generation of scientists. https://www.unr.edu/cabnr & https://www.unr.edu/bmb Search
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. Use and incorporate Home Means Nevada’s platform (linked below) into your portfolio. https://docs.google.com/document/d/16LD1Tht_rhlq40Gbolt9m9LPtQv2HN1ncBuv2VHWf-Y/edit?usp=sharing Contact Information
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modern and/or contemporary global art, teaching undergraduate and graduate courses (3/2 load), participating in curriculum development and assessment of student learning, advising undergraduate majors and
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the campus parking lots, garages, and parking dispenser machines. Duties include (but are not limited to): Maintain and conduct walk through safety and maintenance inspections of parking complexes and surface
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, or demonstrate a willingness to acquire relevant expertise rapidly. Proficiency in coding, numerical modeling, and experience with periodic DFT codes or MOLCAS are desirable attributes. The start date
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/C++, FORTRAN and/or Python. Experience working with geo-spatial information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software