71 phd-position-cloud-computing Postdoctoral positions at NEW YORK UNIVERSITY ABU DHABI
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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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of academic success for a Post-Doctoral Associate position. The research will focus on the development and use of machine learning and advanced molecular dynamics techniques for molecular simulations and to
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Post-Doctoral Associate in the Division of Engineering (Mechanical Engineering) - Dr. Mohammed Daqaq
Description The Laboratory of Applied Nonlinear Dynamics (L.A.N.D.) within the Division of Engineering at New York University Abu Dhabi invites applications for a Postdoctoral Researcher position
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Sabri. The Mathematics Program at NYUAD is quickly expanding, the candidate will find many international experts and postdocs with whom to interact. Weekly seminars are in place across the various
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. Responsibilities of the position include theoretical/mathematical research on the projects of the group, active participation in the group activities, and giving talks internally and externally. There might be
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candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer Science, or Information Science, with no more than five years post receipt of the PhD
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and developing a machine perfusion system to improve organ preservation. The candidate will work in a dynamic, multidisciplinary environment alongside PhD-level engineers and scientists, graduate
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consequences of inequality, broadly defined. The ideal candidate for the current position will have a strong background in research on gender and sexual orientation. Some potential projects include: (1
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infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering. Other related field such as Computer Science, Nuclear
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, organization of scientific workshops, and attendance at conferences. Key qualifications include a PhD in a relevant field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials