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, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race
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well as market and organization considerations. Education: Ph.D. in machine learning, computer science, engineering, science or related technical discipline. Experience: Expertise in developing and training AI
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to conduct fundamental research in the broad areas of virtual and /augmented reality (VR/AR), computer graphics/vision, generative AI, and neural rendering. Candidates will be making contributions to one
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training with a high degree of academic freedom among various high-impact translational projects. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate
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improve our interactions with wild animals at scale. To learn more about the Wild Animal Welfare Program, visit: https://sites.google.com/nyu.edu/wildanimalwelfare Responsibilities The selected candidate
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, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race
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victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic
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, Licensing or Training PhD in biological sciences, molecular ecology, genetics or related (completed by max June. 2024) Advanced SCUBA certification with research diving experience Preferred Education
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, ASSISTANT PROFESSOR OF ELECTRICAL AND COMPUTER ENGINEERING RESEARCH PROJECT DESCRIPTION: Support for multiple capabilities and mixed technologies has increased the cost of ownership of advanced electronics