-
. About You You will have a PhD in computational engineering, applied mathematics, bioengineering, mechanical engineering or a related discipline, with strong experience in CFD or numerical simulation. You
-
established international reputation and publication record. Strong scientific-programming proficiency for implementing computational models, simulations, and numerical experiments is desirable. Diversity
-
research on theoretical condensed matter physics. We are particularly interested in candidates with extensive numerical expertise, especially in the setting of 2d materials, using a full range of techniques
-
Flexible Mesh (FM), including fully coupled hydrodynamic, morphodynamic, and bio-geomorphic modules, you will conduct numerical simulations for selected stretches of the Barcelona coastline. This will
-
deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical optimality with computational efficiency. Reinforcement Learning through Stochastic Control. We will
-
by ATi/Innovate UK and Rolls Royce and is fixed-term to October 2029. You will join a world‑leading programme advancing experimental and numerical methods for predicting the performance of 3D woven
-
experience of mixed phase numerical or analytical flow modelling / solid mechanics / material characterization. Experience of analysing experimental data is highly desirable. You should have a record of
-
by ATi/Innovate UK and Rolls Royce and is fixed-term to October 2029. You will join a world‑leading programme advancing experimental and numerical methods for predicting the performance of 3D woven
-
plant-colonising bacteria and integrate them into the chromosomes of appropriate bacterial chassis. Control systems will be designed to restrict expression to target plants and ensure optimal expression
-
broader cosmology group at Oxford, who combine expertise on a wide variety of topics in theoretical, observational, and numerical cosmology and astrophysics. The successful candidate will be required