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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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on accelerator developments towards the HL-LHC. Expertise in trigger development, performance and optimization and/or the ATLAS computing model is preferred. The selected candidate will work in the ATLAS
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Description The Center for Smart Engineering Materials (CSEM), New York University Abu Dhabi,seeks to recruit a post-doctoral associate to work on the development, characterization, and applications
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development (R&D) of advanced machine learning (ML) models like Transformers, Vision Transformers, Large Language Models (LLMs) and other advanced deep learning models for vision-based applications. The focus
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candidate will work under the supervision of Professor Raed Hashaikeh in the Mechanical Engineering department. This project focuses on the development and optimization of conductive membranes
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for the wider Dubai campus community. We actively encourage process improvement, automation, and personal development as part of the role. Ultimately, it’s a meaningful way to support others and directly
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computer science, or related fields to apply. A strong publication record is encouraged, along with experience in machine learning model development and statistical learning. The selected candidate will work
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to work on various research projects on developing resilient and sustainable construction materials. The successful candidate will work on advancing the development and characterization of reactive
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. The project activities will involve the development of the theory and implementation of the advanced mechanics and numerical models as well as constitutive model calibration and validation based on physical
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engage in academic advising and support for student success and participate in professional development opportunities offered by the institution; contribute to the academic and intellectual life