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definitions best predict adverse perinatal outcomes and help distinguish normal variation from true growth restriction. The PhD could consist of three suggested papers: 1. An assessment of gestational age data
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, Organization and Interdisciplinary approach. Good skills in numerical methods and statistical analysis is required, very good English (written/spoken). Where to apply Website https://emploi.cnrs.fr/Offres
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characteristics? The aim of this PhD project is to develop large-signal modelling and transient stability analysis methods for wind turbine generators under grid fault conditions, with particular emphasis on multi
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negotiated salary progression. More information about employee benefits is available https://liu.se/en/work-at-liu/employee-benefits . Union representatives Information about union representatives, see https
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 30 days ago
, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of tools for the analysis and computational modeling of multimodal neuroimaging data, comprising resting-state EEWG and fMRI data
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We expect you to have a PhD (or equivalent) degree in mathematics, a strong research background in analysis with emphasis on areas supporting one or several of the research topics above, and motivation
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& Find Out More : To apply for this fully funded PhD Studentship or for more information, follow this link: https://www.exeter.ac.uk/study/funding/award/?id=5840 Application Deadline: 19 APRIL 2026 @ 23.59
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for the identification of floating material (plastic and wood) 2. Creation of ground truth for satellite data 3. Development of geomorphological process indicators from satellite classifications 4. Analysis of data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
teams completing coding and analysis from those data. The Senior Research Scientist will lead manuscript writing teams, organizing team members into lead and supporting analysts and authors and employing
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pipes in the subsurface. Innovation opportunities lie in combining physics-based knowledge with AI-assisted data analysis and data fusion techniques. By integrating multiple data sources and sensor