462 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"Simons-Foundation" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
: Nonlinear dynamical systems modelling Large-scale simulations and high-performance computing Parallel programming and optimisation techniques These are high-value skills with applications across academia
-
parallel, forward genetics will be used to identify novel regulators of the fungal cell wall, and mutants will be studied with the methods above to find potential antimicrobial targets. We will provide
-
. These pollutants have accumulated in soils and vegetation, and remain stored for decades potentially impacting on the food system in the UK. In parallel, current agricultural land management and food production
-
out thousands of small tasks in parallel. This makes them ideal for “big science” problems such as particle physics, weather prediction, or drug discovery. However, raw hardware alone isn’t enough
-
to basis set size. We are working on methods that will allow us to solve the time-dependent Schrödinger equation more quickly. In this project you will develop new (parallel) methods based around accelerated
-
, as it involves boiling off lots of water. Innovation is required on multiple scales and there are multiple unanswered questions: Can we replace distillation by other technologies e.g., liquid-liquid
-
device efficiency. There will be an opportunity to learn the tools required for parallel computing using graphical processing units. This will be used to maximise the computational throughput to enable
-
and impacts of UK and Northwestern Europe's atmospheric circulation processes. The results of these models will be compared with parallel experiments carried out using Global Climate Models by the other
-
. Why this project? As we age, many of us face multimorbidity, where multiple diseases strike together, often driven by chronic, low-level inflammation damaging our tissues. Current treatments don’t
-
) charging of the states occurs at a rate that is much faster than could be achieved if all the states were not coupled, but were charged in parallel. There is intense excitement in such a technology, as it