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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, an interconnected
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verification. runtime analysis and reconfiguration of in-vehicle TSN networks. Co-supervise MSc and PhD students. Optionally contribute to teaching and proposal preparation. Required qualifications: As a formal
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a research climate encouraging lively, open and critical discussion within and across different fields of research a work environment with close working relationships, networking and social activities
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operation and analysis. These projects aim to develop a set of cloud-to-edge based tools for enabling intelligent automation of active distribution grids. Do you want to know more about LIST? Check our
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
, large-scale computational science, and simulation of networked physical systems Familiarity with techniques for sensitivity analysis and handling high-dimensional problems Experience in power grid
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scientific program, including conceptualization and design, data collection, data analysis, and interpretation of findings. Evidence of strong research productivity measured through first-author peer-reviewed
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at the University of Tübingen that investigates individual, social, and institutional determinants of learning and educational processes. We employ a wide range of methodological approaches, from large-scale
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for solid-state batteries. Characterize mass transport phenomenon. Develop techniques and strategies for electrochemical measurements and post-mortem analysis. Write reports and high impact papers, and
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out and travel. A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks
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, quantitative psychology, or a related area. Strong background/interests in health and well-being, cognitive aging and dementia, loneliness and social isolation, and integrative data analysis. Strong analytic