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new technologies for genetic privacy, a problem requiring molecular and computational systems to be designed together rather than sequentially. The postholder will join an active team developing
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weekly exercise classes such as yoga and bootcamp sessions as well as a choir. For staff on work visas, we also offer financial assistance towards visa renewal fees. These activities are designed
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(particularly computer vision), (2) machine learning for data analysis, (3) sensor technologies (e.g., electromagnetic sensors), (4) design and integration of mechanical/electrical devices; and an interest in
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Description The Data Science and AI Lab at New York University Abu Dhabi (NYUAD), led by Associate Professor Talal Rahwan, invites applications for a Postdoctoral Associate in Computational Social
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strong programming, experimental-design, and quantitative-analysis skills Have experience working with large-scale data, machine-learning models, human-subject studies, platform audits, or computational
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initiatives focusing on: Next-generation energy storage systems Power converter design for Power-to-X (PtX) solutions Microgrid applications Quantum computing in power systems And other emerging technologies in
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expected to formulate research questions, lead projects, build and evaluate systems or measurement studies, publish in highly selective venues, and help mentor junior researchers. Qualifications
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Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
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to the design, fabrication, and characterization of superconducting devices based on high kinetic inductance materials. This position offers a unique opportunity to help build a new research capability with
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. Qualifications Essential Qualifications: PhD in computer science/engineering with expertise in a security or privacy research topic. Less than 5 years post-receiving the Doctoral degree. Excellent analytic, design