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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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, multi-scale imaging and sensing of New York City, enabling researchers to examine interactions among physical infrastructure, the natural environment, and human activity. Responsibilities Candidates will
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physics. Candidates for the position must have a PhD in physics or a related discipline, preferably with expertise in stochastic processes, nonlinear dynamics, and biological physics. The intended start
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organizational considerations when extending an offer. Candidates should have a PhD in Marketing, Economics, Statistics, Computer Science, or a related field, and should be established scholars in quantitative
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/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer. Candidates should have a PhD in Marketing, Economics, Statistics, Computer Science
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and therefore unable to support STEM OPT extensions. PhD CV For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity Employer
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on the candidate’s experience and qualification. Candidates should have a PhD in Engineering, Cognitive Psychology, or a related field. Additional Qualifications include: Required Record of peer-reviewed publications
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their academic profile, and receive tailored mentorship (e.g., statement reviews, application guidance) for future graduate school applications (MA/PhD). Key Responsibilities: Assist with experimental design, data
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in Computer Science or a related field. For Graduate level teaching: PhD in Computer Science or a related field. Desired Qualifications: Work experience in related industry or teaching experience in
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their effective start date. This position is for a post-PhD trainee preparing for a research career path in academia or industry. The planned position will provide a transition to career independence through