131 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"St" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Exciting Fully Funded PhD: Computational Modelling for High-Pressure, Low-Carbon Storage Technologies. Be a Key Player in Shaping the Future of Clean Energy Storage! School of Mechanical, Aerospace
-
skill via an intrinsic reward. Science Advances, 10(13), eadj3824. https://www.science.org/doi/full/10.1126/sciadv.adj3824 Durstewitz, D., Koppe*, G., & Toutounji*, H. (2016). Computational models as
-
? Mechanical seals are critical components in high-pressure storage solutions for hydrogen and carbon capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational
-
The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Competition Funded UK Students Dr Patrick
-
Overview We are seeking an independent and motivated Research Associate to work on a BBSRC-funded project. This position is available in the laboratory of Professor Ivana Barbaric at the University
-
Overview We are seeking an independent and motivated Research Associate to work in the laboratory of Professor Ivana Barbaric at the University of Sheffield. Our group has been studying the causes
-
with the University of Sheffield requirements. For more details please contact Professor Kamran Mumtaz within the School of Mechanical, Aerospace and Civil Engineering at k.mumtaz@sheffield.ac.uk Funding
-
supervisor, Professor Iain Todd at iain.todd@sheffield.ac.uk, or questions about the CDT to hello@fusion-engineering-cdt.ac.uk. *Please ensure your application specifies the Fusion Engineering CDT programme
-
interdisciplinary team: Dr Andrew Parnell (Uni. Of Sheffield) Dr Nicola Nadeau (Uni. Of Sheffield) With support and strong interactions from Professor Mathias Kolle (MIT) We seek a motivated candidate with: Strong
-
, their simplifying assumptions limit accuracy when dealing with modern reactor design and complex safety scenarios. Conversely, high-fidelity Computational Fluid Dynamics (CFD) offers immense detail but remains