39 computer-security "https:" "https:" "https:" "https:" "https:" "Brookhaven National Laboratory" PhD positions at The University of Manchester
Sort by
Refine Your Search
-
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
-
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
-
workflows and contribute to building UK capability in an important advanced reactor area. The ideal candidate will enjoy computational modelling and quantitative problem‑solving, with a strong foundation in
-
infrastructure. The successful candidate will benefit from access to extensive expertise across The University of Manchester in civil engineering, structural engineering, fire engineering, computational modelling
-
numerical simulation is desirable. Experience with computational tools such as ANSYS Fluent, STAR-CCM+, or COMSOL Multiphysics would be advantageous. Good oral and written communication skills with
-
Research theme: Computational magnetism How to apply: uom.link/pgr-apply-2425 UK only This 3.5-year PhD project is fully funded and home students, and EU students with settled status, are eligible
-
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
-
theoretical and practical skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed
-
receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. Computational haemodynamic modelling provides a
-
experimental and computational, to understand and predict microtexture evolution during processing. The balance between experimental and computational research will depend on the profile of the successful