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motivated Post-Doctoral Associate to join our team with a strong background in robot control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance
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design, development, and validation of material, control systems, and algorithms for next-generation soft haptic actuators and experiences. Note that the research involves significant interactions with
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inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic
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explore enabling technologies for 6G and beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include
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conjugation, neuroscience, and preclinical model experiments. The candidate will work in a dynamic, multidisciplinary environment alongside PhD-level engineers and scientists, graduate students, and full-time
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that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems
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agreement. The successful candidate is expected to take a leading role in the development of the group tasks and help in supervising PhD students. Applicants must have a PhD in experimental high energy
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researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key
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environment consisting of PhD scientists, graduate students, and undergraduate students. Applicants must have a PhD in chemistry or materials science. Excellent experimental and synthetic skills relevant
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Post-Doctoral Associate in the Division of Social Science - Dr. Morgan Hardy and Dr. Veda Narasimhan
Description We are inviting applications for a Post-Doctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in economics or a