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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
studies on the processing, mechanical and corrosion properties of Mg-based alloys, mostly limited to the alloys produced via traditional casting, extrusion and forging. Reports on rationalisation
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be located in Central Cambridge, Cambridgeshire, UK. The key responsibilities and duties are to conduct direct numerical simulations of turbulent flows over rough surfaces under non-equilibrium
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work experience Other relevant professional activities Curious mind-set with a strong interest in people and nature Good language skills Application and Assessment Procedure Your application including
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cutting-edge methods in chemical, mechanical, and plasma processing of metal ores for a truly circular economy. Correlating experimental, ab initio and multi-scale simulation as well as machine learning
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biogeochemical processing of nutrients, aiding water quality remediation, and carbon sequestration. Despite their relatively small area, floodplains support a disproportionately high biodiversity due to dynamic
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for Real-World Optimisation and AI Applications Brain-Computer Interfaces & their Applications Computational Neuroscience: Reinforcement Learning and Microzones in the Cerebellum Explainable Generative
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of the bench required for the tests, participating in the definition of the experimental campaign, data collection, and subsequent processing. Where to apply Website https://sede.udc.gal/services
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of the bench required for the tests, participating in the definition of the experimental campaign, data collection, and subsequent processing. Where to apply Website https://sede.udc.gal/services
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. These components see applications in the transport, catalysis and bioengineering industries. The research will focus on wet chemical processes and the study of chemical reactions on the component's surface. We will
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Engineering, or a related field. Excellent knowledge of automotive design solutions, including historical and current technologies and trends. Strong background in numerical simulations (FEM, MBS) and