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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
critical electronic changes governing CO₂ capture under realistic conditions, providing the essential scientific insights needed to design more efficient, durable, and optimized materials for fighting
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
optimizing complex systems across a wide range of domains, from industrial manufacturing and energy to environmental monitoring and healthcare. The Engineering Digital Twin EDT program , funded by the France
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under different operating conditions. Secondments: ESA (during 3 months): training on the Power Distribution Systems and the challenges for the coming Space exploration missions. UNIPD (during 6 Months
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. Model transition pathways for the ABEL technologies to integrate into existing or new value chains. Minimize energy and resource use through efficient heat exchange, waste heat recovery, and optimized
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plasticity consists in learning dendritic, synaptic, or axonal temporal delays to enrich the network’s spatiotemporal dynamics. This research project will thus explore how these different mechanisms can be
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. The focus of this PhD will be on the integration of the heat pump in the industrial process, taking into account the transient heating and cooling demands of different processes. A design and optimization
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, and high-tech companies covering the full energy value chain. Your main focus will be on modeling systems essential for the design and optimization of hydrogen production processes. Accurate
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use through efficient heat exchange, waste heat recovery, and optimized process conditions. Assess and reduce environmental impacts, such as greenhouse gas emissions. Validate models with literature and
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of radionuclide-doped insoluble organic matter under environmentally realistic geochemical conditions; Determining labile and inert radionuclide fractions at different incubation times using complementary
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proton transfer. For the Diffusion Processes Group we are looking for a PhD Student Your tasks You will prepare and characterize clay samples and oriented clay films using different methods (e.g. XRD