Sort by
Refine Your Search
-
before the deadline. Computational haemodynamic modelling provides a powerful framework for linking blood flow dynamics with cardiovascular disease, using in silico approaches to systematically study flow
-
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
-
-wzn23), this project will combine advanced synthetic strategies with reactivity studies, detailed physical characterization and computational studies to elucidate electronic structures. Together
-
imaging. Novel data workflows will be developed to allow parallel multi-element measurements. The project is interdisciplinary, combining instrument development, analytical chemistry, laser physics and
-
complex dynamics. In parallel, collective decision-making mechanisms (e.g., opinion dynamics) will be leveraged at the high level to coordinate the desired behaviours of multi-agent systems in response
-
of 3 ½ years duration. The PhD studentship project will use state-of-the-art experimental structural biology and computational tools to gain a deeper understanding of the environmentally important
-
computational protein design to develop new biocatalytic methods for asymmetric synthesis. This collaborative project will leverage the pyridoxal phosphate (PLP)-dependent enzyme UstD, previously developed
-
computational enzymology to uncover mechanistic principles that guide future enzyme design. The project offers comprehensive training in biocatalysis, enzyme design and engineering, organic synthesis, structural
-
up to a £5k/annum research training support grant for the full duration of the 4-year programme. Metal-ligand multiple bonding is a burgeoning area for making chemically novel structural motifs
-
asymmetric reductive carboxylation by virtue of the regioselective Fdc carboxylation and stereospecific reduction. Combined with biophysical studies (including advanced spectroscopy, computational modelling