72 algorithm-"Multiple"-"U.S"-"Prof"-"Embry-Riddle-Aeronautical-University" positions at New York University
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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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the racial justice implications of technology, algorithmic decision-making, and surveillance tools in the criminal legal system and other systems that govern people?s lives; challenging the forces that drive
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Project Manager US-NY-New York Job ID: 2025-14602 Type: Capital Projects and Facilities (WS2548) # of Openings: 1 Category: Technology New York University Overview Manage multiple long and short-term
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, mobility and cost. This project aims at developing a dehydration monitoring system that fuses multiple modalities of measurement in order to enhance the quality of measurement, and improves usability by
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significant professional experience in financial, legal, compliance, regulatory and/or audit matters (experience in multiple areas preferred) in an organization of comparable scale and complexity. Must include
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capabilities and response efficiency. Conduct an in-depth analysis of multiple data sources and leverage advanced technologies to detect and respond to compromised systems and accounts. Identify and mitigate
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with multiple programming languages and computational environments, including UNIX-style operating systems, command line interfaces, R, perl/python or similar, and SQL or other database software
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requires managing multiple tasks/projects, working with external parties, and satisfying multiple high-level constituencies. Some knowledge of the technology sector, excellent planning, networking
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health and medicine, t-tests, Analysis of Variance, multiple linear and logistic regression, categorical data analysis, and survival analysis. Statistical topics are presented conceptually with little