43 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" PhD scholarships at Newcastle University in United Kingdom
Sort by
Refine Your Search
-
PhD studentship in Computer Science - Dynamic Validation of AI Systems in Digital Twins: A Real-Time Safety Framework for Critical Infrastructure Resilience Award Summary 100% fees covered, and a
-
, publications and certification-related artefacts. Supervision Environment You will be based in Newcastle University’s Computing AMBER-group, focusing on safety-critical software, medical systems, simulation, and
-
, techno-economic analysis, digital and business skills, ethics etc. You will also undertake short courses in the core subjects of this PhD programme including process intensification and green chemistry
-
registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code:8209F · Select ‘PhD Water
-
the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme
-
subjects of this PhD programme including process intensification and green chemistry. Number of awards: 1 Start date: 1st October 2026 Award duration: 4 years Sponsor: EPSRC Supervisors Professor Kamelia
-
the opportunity to undertake a placement within Scottish Power as part of your program. The project Power Electronic Devices (PEDs) have been proposed as a new approach to increase the uptake of low-carbon
-
prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use
-
-generation regenerative materials. This interdisciplinary project combines mechanical, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational
-
industrial practice relies heavily on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete