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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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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
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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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industry experts, gaining valuable skills at the interface of hydrogeology, environmental engineering, and computational modelling. Research Objectives will focus on: (a) Enhancing CoronaScreen by
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”. This exciting opportunity involves leading the development of advanced data-driven mathematical and computational models to suppress turbulence in pipe flows, contributing to pressing engineering efforts toward
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GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies
applications for the following project. This advert will close when a suitable candidate is identified, so early application is encouraged. The CDT boasts an exciting and challenging programme specifically
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workflows, but also by helping to reimagine digital editions beyond the constraints of print-based models. In particular, it researches and analyses how computational and AI-driven methods, including but not