Sort by
Refine Your Search
-
Employer
-
Field
-
. The candidate will pursue research in machine learning, numerical optimisation, and process systems engineering, and collaborate with academics from the Department, the Sargent Centre, and industrial
-
We are seeking a motivated and compassionate student with a good first degree in a numerate or health related discipline (at least 2:1) and preferably a research or health based Masters, to join our
-
Engineering, Chemistry, Physics, or a closely related discipline. Experience in machine learning, numerical optimisation, or process systems engineering would be advantageous. Familiarity with electrochemical
-
economics. An aptitude to undertake research and develop into an independent researcher. Experience in coding applied to the solution of economic numerical models is highly desirable. For full details please
-
-fidelity experiments (combined particle tracking velocimetry and particle image velocimetry) in a large wind tunnel here at Imperial College London, or high-fidelity numerical simulations. Up to two PhD
-
of Nottingham. The Rolls-Royce UTC at the University of Nottingham is a leading research institution specializing in the development of soft and continuum robots for challenging environments (https
-
information theory, and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching & administration
-
, ultimately optimising the deposition process. Additive manufacturing (AM) is a rapidly advancing technology, driving numerous innovations and finding diverse applications across industries such as aerospace
-
their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify
-
Application deadline: 30/06/2026 Research theme: Applied Mathematics, Continuum Mechanics, Nonlinear PDEs How to apply: https://uom.link/pgr-apply-2425 UK only due to funding restrictions. The