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infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation
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Information Theory. While excellent candidates with other research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in
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the coming year. We invite candidates at all levels (Assistant, Associate, and Full Professor) to apply, in areas including, but not limited to the following: Computer systems Databases Theoretical
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-related data. The ideal candidate must have a background in database management, neuroimaging and/or genomics data analytics, and machine learning and artificial intelligence applications. The candidate is
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expertise in these areas is highly encouraged. The selected candidate will work on cutting edge technologies in an excellent research environment, with a potential to work with a Quantum Computer through our
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: Please submit the following documents in PDF format: Detailed CV Transcripts of Master’s and PhD degrees Research statement (max 2 pages) Three representative publications Contact information for three
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expand, introducing new specializations in Statistics and Data Science, Computational Biology, and Human-Computer Interaction. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental
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of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or experimental means. The PDA is expected to actively disseminate results through publications in
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Employment Opportunity Statement For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity Employer and is committed to a policy of