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contribute to faster development of easily customizable, more autonomous and resilient drone platforms, promoting sustainability via reduced material and energy use. What are you going to do? The PhD project
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systems developed in the SAM3 project in terms of process-structure-mechanical property-function relationships. The candidate will be enrolled as PhD student at the Doctoral School for Materials Science and
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efficiency. This PhD will focus on developing a specific Digital Twin for steel section production working with our industry partners. Rising energy prices, volatile raw material costs, and increasingly
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PhD studentship invites applications from candidates with a strong grounding in war studies to undertake research that will contribute primarily to the centre’s Research Strand 2 (Understanding Slavery
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, water treatment technologies, or environmental remediation techniques, physicochemical materials characterization data analysis and visualization skills Rules governing PhD students are set out in
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to how well they meet the following criteria: A first class (or strong 2:1) degree in any of Engineering, Materials Science, Computer Science, Physics, Biology/Biotechnology, Chemistry/Biochemistry
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multiscale simulations and AI predict how a breathable material knows when to seal? In this PhD project, you will develop responsive MOF-peptide coatings for adaptive surface functionalization and derive
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Specific Requirements You are highly motivated and an enthusiastic researcher. You have an MSc degree in electrical engineering, nanotechnology, applied physics, mechanical engineering, materials science, or
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fieldwork – in one or more infrastructure sectors (e.g. energy, water and sanitation, mobility or food) in European and Indian cities analyse the material using qualitative process methods (path tracing) and
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, France to complete the project. Objectives The objective of this PhD project is to develop advanced numerical modelling tools to support the digital twins of refractory materials, with the aim