Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
AI-electronic systems with applications in aerospace, healthcare, and beyond. As AI systems become increasingly integrated into critical applications, ensuring their security and trustworthiness is
-
The MSc by Research in Defence and Security provides you with the opportunity to develop knowledge, understanding and expertise in your chosen field of research, in much greater depth than a taught
-
mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data
-
in an increasingly volatile landscape and this PhD programme offers students the opportunity to study the strategic, organisational, and policy challenges facing defence and security institutions. It
-
This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
-
A funded PhD studentship is available within the Autonomous and Cyber Physical Systems Centre at Cranfield University, Bedfordshire, UK. As aerospace platforms go through their service life, gradual
-
Organisation Cranfield University Faculty or Department IT Services Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally worked Monday to Friday. Flexible
-
Organisation Cranfield University Faculty or Department IT Services Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally worked Monday to Friday. Flexible
-
of WAAMMat (https://waammat.com/ ), gaining valuable industry experience and exposure. The student is expected to acquire the following (including but not limited to) knowledge and skills from the research in
-
postharvest drying energy demand. Combining applied mycology, food safety modelling, precision agriculture and Net Zero energy systems, the research will deliver energy-efficient, data-driven grain storage