59 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at The University of Manchester
Sort by
Refine Your Search
-
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
-
Application deadline: All year round Research theme: Inorganic Chemistry How to apply: uom.link/pgr-apply-2425 Fully funded PhD, home tuition fees and a tax-free stipend starting at UKRI rate of
-
and scientific computing. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline
-
experimental and computational, to understand and predict microtexture evolution during processing. The balance between experimental and computational research will depend on the profile of the successful
-
receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. Computational haemodynamic modelling provides a
-
the deadline. The project is to contribute to a major Ministry of Defence (MOD) research programme intended to develop generation after next technologies for applications in defence and security, and this
-
with a background in chemical engineering, physics, soft matter science, computational chemistry, and/or related disciplines. Early applications are encouraged, as the position may be filled before
-
. This interdisciplinary PhD is ideal for candidates with a background in chemical engineering, physics, soft matter science, computational chemistry, and/or related disciplines. Early applications are encouraged, as the
-
Application deadline: All year round Research theme: Applied Mathematics, Computational Metallurgy UK only This 3.5-year PhD project is fully funded and home students are eligible to apply
-
is critical to enhancing the economics of large-scale offshore wind energy projects. Prediction of the localised turbulent wind conditions onset to each turbine location is a key input to determine