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degree in a related field, and is still within their first 5 years post receipt of the PhD. To be considered, a candidate must have extensive research experience in the areas of protein misfolding diseases
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Electrical, Mechanical, or Material Engineering (or related field) OR 3-5 years of industry experience (Research and Development). Significant experience in haptic technologies. Hands-on Lab Building and Rapid
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Postdoctoral Associate if they received their PhD within the past five years, or as an Associate Research Scientist if more than five years have elapsed since the degree was awarded. To be considered, all
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods
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) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer
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Post-Doctoral Associate in the Division of Engineering (Mechanical Engineering) - Dr. Mohammed Daqaq
interactions. Applicants must hold a Ph.D. in Mechanical Engineering or a closely related discipline, with no more than five years post receipt of the PhD. Strong English communication skills, the ability
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Post-Doctoral Associate/Associate Research Scientist in the Division of Science (Biological Physics)
immediately and candidates will be considered until the position is filled. The successful candidate will be appointed as a Postdoctoral Associate if they received their PhD within the past five years, or as an
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Description The Laboratory for Computer-Human Intelligence (CHI-lab, https://www.x-labs.xyz) in the Division of Engineering, New York University Abu Dhabi, is seeking a highly motivated Post
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models
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energy-related materials. The successful candidate must hold a PhD in Chemistry, Materials Science, Chemical Engineering, Physics, or a closely related discipline, within less than 5 years post receiving