64 cloud-computing-"https:"-"https:" positions at Cranfield University in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking
-
-Performance Computing and Future Data Centres AI-Optimized Electronics for Edge and Cloud AI Acceleration – Investigate AI-enhanced data centre electronics, optimizing workload distribution, energy efficiency
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
-
, and we have been driving innovation for over 40 years. You will contribute a major UKRI-funded programme, tackling one of the most urgent global health challenges. The successful candidate will join a
-
detection of chemical and microbial contaminants in rivers. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme, which is supporting new research
-
. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme, which is supporting new research on human-environment interactions in freshwater ecosystems. There is an
-
requirements A minimum of a 2:1 first degree in a relevant discipline/subject area (e.g. aerospace, automotive, mechanical, electrical, chemical, computing, and manufacturing) with a minimum 60% mark in
-
confidence, safety, and reliable shared decision-making. To achieve this, the programme offers two closely connected research directions. The first area focuses on real-time multimodal human trust sensing
-
management. The program will combine desk based and experimental activities that will ultimately establish the most sustainable approach to treatment, recovery and/or disposal of the brines. The successful
-
thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute