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Requisition Id 15553 Overview: We are seeking a Postdoctoral researcher in data quality assessment and control and sensor network optimization who will focus on R&D of sensor network design. This
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university
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communications (ISaC) to network design using O-RAN; from statistical learning theory to software defined radio (e.g., USRP) prototypes. The Bradley Department of Electrical and Computer Engineering has both
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funded by the National Open Research Forum (NORF) to help with extending and delivering the TROPIC training programme for open research, and to help develop and coordinate a national network of open
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science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university
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Deadline 24 Oct 2026 - 12:54 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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operators or Physics-Informed Neural Networks (PINNs) in computational fluid dynamics is an advantage. The postdoctoral research associate will join a growing, multidisciplinary research team and will have
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, x-ray generator and detector. -Experience with GEANT4 or similar Monte Carlo modeling toolkit. Experience with implementing computational neural network (CNN) architecture. Experience in image
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood