424 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" positions at New York University
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Assistant Director, Learning Analytics US-NY-New York Job ID: 2026-15383 Type: NYU IT (WS1170) # of Openings: 1 Category: Technology New York University Overview The Assistant Director of Learning Analytics
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The Assistant Director of Learning Analytics provides strategic leadership for the university’s learning data ecosystem to drive institutional data strategy. This role is responsible for the vision
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The Director, Operations and Learning (DOL) oversees the day-to-day activities and the educational program of the Learning and Teaching Nexus (Nexus) at the New York University School
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Arts & Science is seeking an experienced Machine Shop Specialist to oversee the design and fabrication of experimentation parts using manual and CNC lathes and milling machines, drill press, band
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Zanna, the successful candidate will focus on developing generative machine learning models for complex dynamical systems for probabilistic forecasts. The postdoc will be expected to lead independent
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: Education: Ph.D. in machine learning, computer science, engineering, physical science or related technical discipline. Experience: Expertise in developing and training AI models Proficiency in Python
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, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual
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Research Scientists as part of its new initiative, Polymathic AI, Building Foundation Models for Science. Recent advances in machine learning, including Large Language Models and diffusion based generative
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(Robot Simulation & Offline Programming), Microsoft Office Suite Programming Languages: Hardware-Level & Digital Design: Verilog, VHDL, Assembly. Data Science & Machine Learning: Python (Pandas, NumPy
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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using