28 computer-programmer-"https:"-"https:"-"https:"-"KU-LEUVEN" PhD positions at The University of Manchester in United Kingdom
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
-
PhD Studentship available on the RAINZ CDT programme at The University of Manchester. Project Overview Abstract: Complex software-driven systems, including autonomous robotics, are typically
-
PhD Studentship available on the RAINZ CDT programme at The University of Manchester. Project Overview Abstract: Offshore wind and marine energy assets operate in harsh, inaccessible environments
-
in the groups of Dr Florence Hardy and Prof Anthony Green, University of Manchester, as part of the cross-institutional BioAID Doctoral Training Programme, including world-leading experts from Queen's
-
Characterize the molecular basis of enzyme function with spectroscopic, kinetic, and structural techniques. About the programme Join experts in industry and academia working to sustainably manufacture
-
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
-
motivated students, and EPR/MOF experts. As part of the project, the student will receive training in EPR, NMR, XRD, XPS, TEM. The PhD programme incorporates strong career development elements enabling
-
an emphasis on reaction development and optimization. Training BioProcess aims to train the next generation of bio-innovators. Our interdisciplinary programmes prepare PhD students and researchers with the real
-
undertake an interdisciplinary programme combining polymer synthesis, materials characterisation, rheology and mechanical testing, and in vitro drug release studies, supported by quantitative analysis and
-
in porous geological formations. The successful candidate will develop and implement computational models, validate them against experimental or field data where available, and contribute to the design