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to work with global student populations. Qualifications PhD in kinesiology, movement/rehabilitation science, engineering, human computer interaction, human factors, or related field is required. Established
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650 students from around the world enrolled in our PhD, MFA, and MA programs. The students and academics in our departments dedicate themselves to the thoughtful consideration of humanities' place in
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- lead faculty and graduate student recruitment initiatives, including division-wide hiring efforts and recruitment across basic science PhD programs. Training & Professional Development: Design and lead
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contributions as a software engineer for a wide range of projects requiring computing systems design and realization, including machine learning (ML) and artificial intelligence (AI) applications including
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artificial intelligence (i.e. machine, deep and reinforcement learning…) to optimize efficiency, improve safety, reduce costs and promote sustainability. Collaborate with multidisciplinary teams to uncover a
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through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and
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sciences and will be involved in routine data quality assessments, application of machine learning and artificial intelligence methods, data management tasks, manuscript development, grant proposal
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to build the strongest possible university with the widest reach. To learn more about the Arts & Science commitment to inclusive excellence, please read here: https://as.nyu.edu/departments
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research spanning theoretical foundations, bioinformatics, machine learning, robotics, data mining, and applications of Computer Science. Together, the programs prepare students for graduate study in
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systems, copilots, AI assistants, no-code/low-code AI tools). Understanding of AI system deployment concepts and practical constraints relevant to business environments. Familiarity with machine learning