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Research theme: Materials 4.0 No. of positions: 1 Open to: UK applicants This 3.5-year project is funded by the School of Natural Sciences and is available for home students; the successful candidate will receive an annual tax free stipend set at the UKRI rate (£20,780 for 2025/26). Tuition fees...
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As part of the Restoration Ecology and Dynamics (READY) Doctoral Focal Award, we invite applications to the following PhD project: Measurement and modelling of future persistence of restored
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05.05.2025, Wissenschaftliches Personal The Chair of Renewable and Sustainable Energy Systems (ENS) at the Technical University of Munich (TUM) deals with the modeling and optimization of energy
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. The group is world-leading in modelling of the ice sheet surface including firn, and maintains a dedicated network of automatic weather stations. Currently, our research group has 6 staff members, 8 Postdocs
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
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The doctoral student project and the duties of the doctoral student This Data Driven Life Sciences (DDLS) PhD project focuses on probabilistic models of protein structure, which can be used primarily
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and prosthetic devices in the real-world. This PhD project offers the opportunity to work on pioneering research that combines state of the art computational modelling (deep neural networks) and
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desorption mechanisms of various FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property
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; Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | 2 months ago
Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) approach was recently developed to model such intersectional inequalities. This PhD will involve developing and applying the MAIHDA
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will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we will