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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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of quantum information science, tensor network theory, and generative modeling (transformers, diffusion models, etc.). - Conduct cutting-edge research at the intersection of quantum information, machine
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. Brief Description of Duties: The Postdoctoral Associate will join the Principal Investigator Profs. Himanshu Gupta and CR Ramakrishnan in the Quantum Computing and Network Center of Stony Brook
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applications from all qualified candidates regardless of personal background. Join us in decoding the molecular and computational networks that drive aging and resilience and help shape the future of healthy
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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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causal networks that govern cellular behavior from large-scale single-cell datasets. Our group has pioneered computational approaches for: Inferring causal networks from Perturb-seq (interventional single
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academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the department Vanguard works on
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coverage Relocation assistance package Access to state-of-the-art computing resources and research equipment Opportunities for professional development and networking Collaborative and innovative research
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Emirates Application Deadline 13 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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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