12 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at University of Massachusetts
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field or method, including, but not limited to, numerical methods, machine learning, or parallel and distributed computing. Expertise in a parallelization method (e.g., CUDA or ROCm, MPI, OpenMP
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& Computer Sciences About UMass Amherst The flagship of the Commonwealth, the University of Massachusetts Amherst is a nationally ranked public land-grant research university that seeks to expand educational
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& Computer Sciences About UMass Amherst The flagship of the Commonwealth, the University of Massachusetts Amherst is a nationally ranked public land-grant research university that seeks to expand educational
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knowledge of personal computers and relevant software programs (e.g., data entry, word processing, spreadsheets, qualitative and quantitative data analysis software) such as Microsoft Word, Excel, PowerPoint
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analyze qualitative data. Experience with authoring reports and papers for scientific audiences. Demonstrated knowledge of personal computers and relevant software programs (e.g., data entry, word
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& Computer Sciences About UMass Amherst UMass Amherst, the Commonwealth's flagship campus, is a nationally ranked public research university offering a full range of undergraduate, graduate and professional
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Assistance Providers working on this Program. Ability to exercise considerable tact and diplomacy in personal interactions. Basic computer and communication/people skills are required. Ability to travel
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Demonstrated knowledge of personal computers and relevant software programs (e.g., data entry, word processing, spreadsheets, qualitative data analysis software) such as Microsoft Word, Excel, Powerpoint, and
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in academic programs, activities, and services, and the selection of vendors who provide services or products to the University. To fulfill that policy, UMass Amherst is further committed to a program
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, Experience, Certifications, Licensure) Demonstrated experience managing research assistants or other staff. Experience collecting MRI, EEG/polysomnography data. Strong computational and programming skills