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or demonstrated ability to quickly learn key platforms (e.g., FileMaker Pro, LionPATH, iTwo, Workday, Microsoft Office 365). Thorough understanding of FERPA (Family Educational Rights and Privacy Act) and academic
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Rotation, translation, scaling, etc., homogeneous coordinates Deep Learning: Experience with at least one deep learning framework such as PyTorch or TensorFlow Understanding of: Neural network architecture
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methods, stochastic control processes, dynamic programming, deep reinforcement learning. Strong track record in scientific contributions supported by peer-reviewed publications. Strong programming skills
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experience: Proficiency or demonstrated ability to quickly learn key platforms (e.g., LionPATH, 25Live, iTwo, CSRS, SEEQs, CIM, Workday, Microsoft Office). Strong understanding of FERPA and academic policy
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within the dining environment. The ideal candidate brings energy, creativity, and deep sports nutrition expertise to support student-athletes’ training, recovery, and overall well-being. As a key member of
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Office. Preferred Skills and Experience: Proficiency or demonstrated ability to quickly learn key platforms (e.g., FileMaker Pro, LionPATH, iTwo, Workday, Microsoft Office). Strong understanding of FERPA
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-stakeholder initiatives aligned with an innovative academic agenda. They possess financial savvy, a deep understanding of higher education culture and governance, and a commitment to advancing inclusive
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for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine
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of software and hardware solutions. Deep experience working in a Unix or Linux environment, understanding of software compilation (C and Fortran), MySQL and PostgreSQL databases, and strong skills with bash
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will bring a proven track record of leading complex research and evaluation projects from start to finish, with the ability to quickly learn new programs and master SAFE-T Center objectives. Preference