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of machine learning, data science, or related fields, particularly those that align with or complement the program’s existing research strengths in: Geometry, Topology and Algebra. Examples of fields
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Compensation: Competitive salaries aligned with leading global academic institutions Funding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in
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Computing Security. The candidate is expected to do cutting-edge research in multiple of the following areas, therefore prior expertise in these topics are highly encouraged: Quantum Machine Learning (QML
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, projects involve the design and synthesis of DNA libraries containing multiple variants of synthetic gene constructs, which are then tested using the model organism E. coli. Candidates are also welcome
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of brain health research, the Institute aims to identify markers predictive of perceptual and cognitive impairment in health conditions prevalent in the region, including diabetes, multiple sclerosis
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and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures
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with diverse data types, such as vision, speech, images, and physiological signals. Experience integrating multiple modalities to build robust AI systems is an advantage Interdisciplinary Applications
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future. CITIES leverages the expertise of faculty members from the four Divisions of NYUAD and world-renowned scientific collaborators from multiple institutions within and beyond the NYU Global Network