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: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly report to Prof
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. The position requires involvement in multiple longitudinal and experimental lab-based studies examining the development and impact of attachment bonds and/or autobiographical memory. The projects cover a diverse
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and validation models to predict cancer subtypes, addressing issues such as batch effect mitigation and data discretization. Design and implement the PIGExClass algorithm for clustering based on isoform
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collaboration between multiple research groups and involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health
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bioelectronics to assess EVs from macrophages. In recent years macrophage-derived EVs have emerged to be potential therapeutic targets and promising agents for treatment of inflammatory diseases, and our goal is
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Interdisciplinary Collaboration Program in a project that spans oceanography, ecology and mathematics. The position will be based at NYU Abu Dhabi starting September 1, 2025 for two years, renewable depending
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either science (solid-state physics) or engineering (mechanical) is a requirement. The specific research projects will focus on both experimental and modeling aspects of the effects of temperature
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on adaptive evolution in invasive species, using the mesquite tree (Prosopis sp.) as a model system. This position will be based at NYU Abu Dhabi and supervised by NYUAD-CGSB’s Director, Dr. Stephane Boissinot
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. Formal models are directly applied in real experimental facilities. We are seeking a Post-Doctoral associate to join our expanding team and make significant contributions to the field. The researcher is
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on one or more of the following: Learning-Based Control: Developing reinforcement learning, imitation learning, and learning from demonstration (LfD) techniques to improve adaptability and efficiency in