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turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and the ability to analysis and
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About the position We are offering 1-2 PhD positions with specialisation in either Comparative Politics, Political Data Science, or Public Administration. The successful applicant(s) will be part of
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—specifically fine particulate matter, heat, and humidity—in Philadelphia neighborhoods. The fellow will extend existing research in AI- and data-driven modeling of building systems by developing algorithms and
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of social dynamics. Motivating aims include the discovery and analysis of hidden large-scale patterns in data/models, elucidating mechanisms underlying the emergence of these large-scale phenomena and their
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and experimental data to bridge our micro- and mesoscopic knowledge of living processes and the intricacies of large-scale networks. By doing so, we aspire to unveil biological principles that can
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public and community mental health. You'll: Apply advanced quantitative and quasi-experimental methods to large datasets (e.g. administrative, environmental, or health data) Contribute to high-quality
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8 Nov 2025 Job Information Organisation/Company UNIVERSITY OF SURREY Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Country United Kingdom Application
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8 Nov 2025 Job Information Organisation/Company UNIVERSITY OF SURREY Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Country United Kingdom Application
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key responsibilities will be to: Co-lead and potentially lead on research work in breast cancer prevention, including cancer screening, and undertake screening trials or large-scale cohort studies
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Details Title Postdoctoral Fellow, Digital, Data, and Design Institute - Climate and Sustainability Impact Lab School Harvard Business School Department/Area Position Description The Digital Data