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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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training programme on Regenerative Agriculture. The requirements to applicants is: You have: Background in soil sciences and agricultural sciences or related field; Experience in process-based modeling
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), and is funded by Deutsche Forschungsgemeinschaft (DFG). Our goal is to achieve atomic-precision synthesis and exploration of new planar carbon lattices (PCLs) for next-generation quantum materials
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), and is funded by Deutsche Forschungsgemeinschaft (DFG). Our goal is to achieve atomic-precision synthesis and exploration of new planar carbon lattices (PCLs) for next-generation quantum materials
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candidate must also fulfill the requirements for admission to a PhD program at DTU. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two
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Physics, Theoretical physics, Maths or other closely related subject (e.g. Materials Science with evidence of strong computational background and skills). To apply, please contact the supervisors; Dr Thomas
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£20,780 per year, and includes a 3-month fusion engineering CDT training programme as part of the 2025 Cohort. This project is co-supervised by Dr Chris Hardie from UKAEA. The UoB Materials for eXtremes
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materials, functional precision membranes, optoelectronic and electrochemical devices, by employing advanced experimental and theoretical methods in an interdisciplinary approach bridging synthetic chemistry
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Your Job: The electrocatalytic interface engineering department led by Prof. Dr.-Ing. Simon Thiele focuses on synthesis, manufacturing, analysis and simulation of functional materials to find
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
: Analyse how curation and drying impact mechanical properties and hygrothermal performance. Develop a Predictive Model: Create a computational model linking operational variables and material properties