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of solid-fuel particles and this increasingly relies on engineering computer modelling. This project aims to develop a deeper understanding into the mechanisms of pulverised solid fuel ignition, and to
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programme This University of Sheffield PhD project is part of the EPSRC Centre for Doctoral Training in Sustainable Sound Futures programme. Further details about the CDT and the programme can be found
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Details This project explores the textual transmission and cultural influence of Petrarch’s poetry across different literary traditions and languages, integrating computational methods to enhance
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deterministic causality, even though it is seemingly autonomous like a robot, can acquire mechanically attained computational (Brain-like) functions, behave autonomously, and even realise cognitive behaviour is a
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the air conditions in underground stations. The proposed research will be carried out with the use of Computational Fluid Dynamics (CFD) to simulate the underground station environment with the possibility
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/interview) A degree (Bachelor’s, Master’s, or PhD or equivalent experience) in Software Engineering, Computer Networks, Embedded Systems, AI, Data Engineering, or a related subject (assessed at: application
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fixed-term 301 Tutors Ensure the core Academic Skills programme is cognisant of and responsive to the needs of international students Provide guidance to staff as part of the Elevate staff development
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. (assessed at: application & interview) Desirable criteria Knowledge of computer programming with experience in a scientific program language e.g., Python, Java, C++, C, C#, LabVIEW, MATLAB, Halcon, R, Maple
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. Identify, create and provide a training and development programme tostaff on contracts and contract negotiation. Develop and implement an efficient contracting process, including an appropriate, transparent
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A search for pharmacological inhibitors of a cancer-associated adhesion GPCR in the zebrafish embryo
are seeking a motivated student with interests in developmental biology, disease modelling and drug discovery. This interdisciplinary project combines both wet bench work and computational work (bioinformatics