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Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable What-If Analysis of Intelligent Networks Funded PhD Project (UK or International Students) Funding provider
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This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further
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Project summary: In this project we partner up with Scottish and Southern Electricity Networks (SSEN) Transmission to examine the social and economic value of major investment in electricity
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maintaining national networks of geophysical instruments, and by operating a data center. The thesis will be conducted within the Waves and Structure Team, under the supervision of Nikolai Shapiro and Laurent
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applied methodologies in Data and Image Analysis, Computational Imaging, Statistical Learning, Uncertainty Quantification, Robust Estimation, and Deep Neural Networks. The group combines expertise in
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dimensionally identical to real samples of metallic and non-metallic materials, which will be divided into quadratic volume elements using mesh generation. The denser the mesh is chosen, the more accurate the
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Research, Industrial Engineering, (Business) Economics, or a similar degree with an equivalent academic level.•You have a strong interest in combinatorial optimization, network analysis, and/or supply chain
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Université Clermont Auvergne / CAP Europe | Clermont Ferrand, Auvergne | France | about 21 hours ago
research within the EUArthurs network, funded by the European Commission’s Marie Skłodowska-Curie Actions ("European Arthurs, Medieval to Modern", see CORDIS project link). The candidate will undergo
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A new approach to minimum colour vision requirements and optimum use of colour signals within Network Rail City St George’s, University of London – School of Health & Medical Sciences Supervisors
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health profiles. The project uses spatial analysis and GIS, including network-based walkability modelling with OpenStreetMap, large-scale human mobility analysis with anonymised Call Detail Records and