78 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship research jobs at UNIVERSITY OF SOUTHAMPTON
Sort by
Refine Your Search
-
We are seeking a highly motivated Research Fellow to join the School of Electronics and Computer Science (ECS) at University of Southampton for a two-year position in the area of Personalised
-
(R3) Country United Kingdom Application Deadline 16 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
Astronautics! We are seeking a talented and motivated Research Fellow to contribute to a fully-funded project focused on advancing the computational analysis and manufacturing of these critical materials. Who
-
theoretical, computational and experimental methods and our aim is to provide an environment in which these different approaches can be combined and focused on particular topics of practical importance. You
-
/research/groups/afm.page ) engaged in a wide range of experimental and numerical studies of turbulent flows. The AFM research group is comprised of experts in theoretical, computational and experimental
-
authoritative practical knowledge and experience in acoustics and/or vibration, supported by detailed understanding. Basic understanding and knowledge of numerical modelling using the Finite Element Method
-
knowledge of numerical modelling using the Finite Element Method/Boundary Element Method. Excellent communication and teamwork skills. Informal enquiries can be made to Dr Felix Langfeldt: F.Langfeldt
-
this will involve the development of novel ML/DL methods which leverage both computational and experimental data. Candidates should also have experience of numerical modelling (e.g. CFD and FEA), working as
-
We are seeking a highly motivated and skilled Research Fellow to join the Cancer Data-Driven Detection (CD3) programme. CD3 is a new, multidisciplinary and multi-institutional strategic national
-
successful candidate will primarily work on the development and enhancement of the OASIS model, contributing to new physical parameterisations, numerical algorithms, and/or performance optimisation. They will