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, located in Brooklyn, has the distinct history of having been known previously as Brooklyn Poly. The position is open to PhDs with background in robotics, controls, AI, and/or computer vision and hardware
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year of a PhD program who are looking to postpone the formal economics job market and build a strong academic record. The position does not require teaching, but it may be possible to get teaching
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in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree); Relevant research experience
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and multimodal perception/behaviors, generative diffusion models, cloud-based computer graphics, and neural rendering (e.g., neural radiance fields and 3D Gaussian splatting). The NYU ICL
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candidates with other research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in Mathematics, Statistics
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technologies, in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other
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excited about building and deploying systems. Work with the PI in mentoring PhD and Master students. Be self-motivated and driven, creative, team-oriented, and able to work efficiently in a
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, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering
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, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering
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preferred. Proficiency in computational tools such as MATLAB, Python, R, or machine learning applications in immunology is desired. Candidates should have a PhD in Chemistry, Chemical Engineering