45 computational-physics "https:" "https:" "https:" "https:" "Masaryk University Faculty of Science" PhD positions at The University of Manchester
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their work at major international conferences. Applicants should have a 1st or high 2:1 honours degree (or international equivalent) in mathematics, physics, engineering, computer science or other related
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generate high-quality experimental datasets, establish process-structure-property relationships, and demonstrate ML-guided optimisation of aerogel electrodes. The outcomes are expected to effectively
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an excellent CV are strongly encouraged to contact the supervisor to discuss their opportunities. The ideal candidate has a Master degree in chemistry, physics, chemical engineering, or material science. Solid
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skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed evolution; process
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of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed evolution; process modelling and development; digital skills
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of components. These WELs are regions of nano-grained material that are believed to form from severe plastic deformation at the surface during the machining process. Similar white-etching features are also
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Engineering, Physics or related discipline. To apply, please contact the main supervisor, Dr Dumanli-Parry - ahugumrah.parry@manchester.ac.uk . Please include details of your current level of study, academic
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extreme threats to national security. AWE has pioneered advancements in areas including physics, engineering, materials science, and high-performance computing. Together we’ve helped shape the UK’s
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in porous geological formations. The successful candidate will develop and implement computational models, validate them against experimental or field data where available, and contribute to the design
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. The project is designed to be accessible to students from engineering, physical sciences, mathematics, or data science who are motivated to apply their skills to real-world energy and climate challenges