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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree
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Description The Water Research Center at New York University Abu Dhabi seeks to recruit a post-doctoral associate to work on "Application of Membrane Desalination to Treat Water from UAE Feed
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for Brain & Health, New York University Abu Dhabi, seeks to recruit a Post-Doctoral Associate to work on the mechanisms underlying mental processing speed. The successful applicant will drive a fascinating
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, seeks to recruit a junior research scientist to develop AI-enabled healthcare applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based
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interdisciplinary outlets. Collaborate with SSEL board members and affiliated faculty. Contribute to the smooth operation of the laboratory. Participate in the academic activities of the division. This position does
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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations
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Description NYUAD Water Research Center at New York University Abu Dhabi, seeks to recruit a research scientist to work on the development of membrane desalination to treat water from the Arabian
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. The research focuses on the development of advanced functional materials and processes for sustainable water treatment and desalination. This research is conducted within the Water Research Center (WRC) at NYUAD
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of cyber security. Applicants must have a BSc with any level of experience, or MSc with less than 5 years of experience, in Computer Engineering or related field. Responsibilities of the Position: Conduct
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with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design