Sort by
Refine Your Search
-
early as the advert may be removed before the deadline. High-dimensional computations are ubiquitous in science and engineering, often arising from models with numerous parameters. For instance
-
computations possible [1]. However, proven scientific applications for quantum computing remain mostly limited to quantum chemistry, materials, and particle physics. Since CFD is one of the most demanding use
-
scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
-
and widely used technique for probing molecular structure, dynamics, and chemical processes across the physical, chemical, and life sciences. In this project, NMR will be coupled with computational
-
will investigate how individual and collective decision processes emerge from physical systems’ dynamical sensorimotor loops, with a focus on the tight coupling between body dynamics, sensing, and
-
manufacturing adaptive clothing at scale. This PhD project seeks to address that gap by developing an engineering-led framework for adaptive and inclusive apparel design. Bringing together design process thinking
-
factorisation and discrete logarithm computation are hard. It is proven that large scale quantum computers, if they were built, would solve these hard problems efficiently, hence rendering today's cryptography
-
4 Nov 2025 Job Information Organisation/Company The University of Manchester Department Computer Science Research Field Computer science » Computer systems Researcher Profile First Stage Researcher
-
-matter interactions control and optimisation. The PhD will advance our comprehension of the mechanisms that lead to defect formation in DED-LB, and improve process control measures to either prevent
-
-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models