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Department for Energy Science is seeking candidates who wish to pursue a PhD in Energy Engineering. Your research will focus on developing and applying optimisation models to analyse the future role of
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Infrastructure? No Offer Description Mission: Participate in the development of high-performance Shallow Water models. Functions to be developed: To develop a tool for baroclinity simulation of the atmospheres
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of this research project is to develop a quasi-atomic-scale 3D model of PEDOT:PSS fibres (a pi-conjugated, semiconducting polymer) dispersed in water. This polymer complex is a benchmark in numerous fields of energy
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analysis projects that interrogate the mechanisms behind hormonal rhythm misalignment. The research will be closely integrated with mathematical models that predict dynamic responses to perturbations (e.g
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Posting Details Position Information Title Art Model Department Summary The mission of the Art Department at Bridgewater State University is to engage students in the exploration of their individual
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research the dynamic processes of the Earth system. Our vision: “Taking the pulse of the Earth to safeguard a habitable planet.” For section 2.5 Geodynamic Modeling (department “Geophysics”), we are looking
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 15 hours ago
geophysical modeling. A wide range of research is possible, from the analysis of existing lunar datasets, to the development of new modeling approaches, and to simulations of possible future measurements
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims to develop models for food policy through a
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2 Oct 2026 Job Information Organisation/Company Silesian University of Technology Department Department of Artificial Intelligence Modelling Research Field Mathematics Computer science » Informatics
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of response and develop predictive models. The work will involve analysis of large-scale datasets through multiomics integration, machine learning, statistical genetics, QTL analysis and development of genetic