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Polytechnique de Toulouse (INPT). The PhD student will be part of a group of largely modelling PhD students all trying to make computational fluid dynamics modelling more sustainable in a comprehensive sense
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together with other energy assets, such as electrical boilers, within a Model Predictive Control (MPC) framework that optimally balances electricity and heat production. Within FLEX-SMR, this PhD focuses
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collaborate with the G2Elab modeling team on numerical models of quench dynamics. This development will aim, in the long term, to enhance our ability to predict quench behavior, as well as to serve as a tool
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analyses, structural modelling and functional prediction. The candidate must also have hands-on experience in recombinant Rubisco expression, protein purification and enzymatic characterisation. These skills
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Application deadline: 31/08/2026 Research theme: Mettalurgy How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK) students. The successful
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use of a variety of computer models for the prediction and planning of test event The selected candidate must be able to pass interim SECRET security clearance requirement, hold a SECRET security
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, or digital health. Responsibilities The Postdoctoral Scholar will: Analyze large-scale datasets from cohorts and clinical trials, including longitudinal data. Develop and implement predictive models
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understand why species and populations differ in their vulnerability, so that research can inform conservation, management, and policy. However, we still cannot reliably predict how climate change will affect
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, authentication, NAC, RADIUS, DHCP, switching, routing, DNS, and wireless platform operations Creating predictive wireless designs and performing site surveys to support new construction, renovation, and
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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern