846 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at Cornell University in United States
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, healthy, and equitable community where students, faculty, and staff with different backgrounds, perspectives, abilities, and experiences can learn, innovate, and work in an environment of respect, and feel
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technical instruction to students on the use of design tools and programs in coordination with course requirements and learning outcomes as determined by the professorial faculty. Review CAD and 3D drawings
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-support skills. Strong analytical and problem-solving mindset. Willingness to learn new technologies and stay current with industry developments. Commitment to accurate documentation practices. Ability
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communication skills. Capable of adapting to the needs of a rapidly changing research environment. Demonstrated ability to learn new skills in different situations. Experience using electronic test equipment
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well as the broader Finger Lakes community, see and utilize the Museum as a vital learning resource. The Director has primary responsibility for all aspects of the Museum's operation, management, and resources. Working
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the training, coaching, and mentoring of college students in an experiential learning environment. Must have good written and verbal communication skills and have a solid grasp of computer skills, ideally with
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end of the year winter break from December 25-January 1. To offer greater flexibility for observing faiths and traditions we also offer two additional floating holidays. Learn more about our generous
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mission. We strive to be a welcoming, caring, healthy, and equitable community where students, faculty, and staff with different backgrounds, perspectives, abilities, and experiences can learn, innovate
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culture for experimentation. Analyzing data using straightforward statistical methods and computer software. Visiting field sites for sample and data collection and the conducting of experiments off site
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the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas: machine learning or deep learning, structural