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Field
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, you will develop innovative small area estimation methods to produce high-quality composite SDG indicators, combining survey, census, and non-traditional data sources such as web and satellite data
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the scholarship if none of the candidates meet the requirements. Candidates with a final score below 14 (in a scale from 0 to 20) are not eligible for the Research scholarship. 8. EVALUATION Composition
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of both the filament and the substrate, pressure, gas phase precursor composition) with the film chemical structure and the resulting optical properties will be carried out. The DC candidate will be trained
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
the rendezvous problem for proximity operation of a tethered spacecraft by combining the closed-form solution of MPC problems using linear models written in orbital elements to improve the accuracy
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composite materials (lamina properties, laminate stacking, orientation effects) is a plus. Familiarity with optimisation and/or surrogate modelling (regression, Gaussian processes, neural nets, etc.) is an
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
remote sensing data. Rather than relying on traditional assumptions, it uses modern generative AI models, particularly diffusion models, to better represent priors and sample the posterior probability
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aerosol composition and properties together with cirrus occurrences in the UTLS for achieving a better understanding of the link between aerosols and cirrus clouds in the UTLS, for which Lagrangian
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on precisely defined chemistry, underpinned by measurement of atomic and isotopic composition/distribution with extreme precision e.g. isotopic implants in Quantum Technologies. Investigation of failure
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, with a view to developing and carrying out the above-mentioned project and related scientific activities, with a particular focus on the development of analytical models (data science – machine learning
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PhD candidate to work on advanced modelling of fillet welds in aluminium structures. The project focuses on understanding how weld geometry, alloy composition, thermal history, and manufacturing