28 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at New York University
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grant when extending an offer. Completion of PhD in Data Science, Computer Science, Mathematics, or other discipline aligned with CDS faculty research by the start date. Please follow instructions in
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previous research experience (computational and experimental) in the broad area of Nonlinear Mechanics. Applicants must have received a Ph.D. in Mechanical Engineering, or any closely-related field
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at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post
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via autophagy and lysosomal targeting in learning and memory and disease models using rodents and iPSC-derived cell cultures. These mechanisms will be investigated in both healthy conditions and
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of the research grant when extending an offer. ? Must have a PhD Degree in Engineering, Physics, Chemistry, Materials Science, or a similar field with 5 years of experience. ? Highly proficient in the development
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Individualized research in the realm of physics. PhD 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 and is committed
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of virtual reality for research related to human ambulation, balance and gait analysis. The candidate must have prior research experience with virtual reality, computer graphics and animation, gaze detection
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for an individual to be appointed as a postdoctoral associate under the supervision of Prof. Mark Tuckerman. The research will focus on the use of classical and quantum molecular simulation and machine learning
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at New York University Abu Dhabi seeks to recruit a motivated post-doctoral associate with a strong background in game theory, control systems, and/or learning theory to join the research team of Prof
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into the conditions required to launch jets. The main objective of the research program of the PI is to uncover the nature of relativistic jets and understand the connections between accretion and ejection