Sort by
Refine Your Search
-
, ultimately optimising the deposition process. Additive manufacturing (AM) is a rapidly advancing technology, driving numerous innovations and finding diverse applications across industries such as aerospace
-
and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
-
. Cover reception desk-based duties once trained, including reporting and night audit process. Cleaning of specified public areas ready for the next day’s operations. Always follow all Food Handling and
-
This self-funded PhD opportunity sits at the intersection of several research domains: multi-modal positioning, navigation and timing (PNT) systems, AI-enhanced data analytics and signal processing
-
are assessing the potential of combined granular activated carbon (GAC) and ion exchange treatment to remove PFAS from water sources used for drinking. Part of the planning process involves evaluating operational
-
enhancing electronic performance and resilience using AI techniques. The research aims to develop intelligent, adaptive, and high-performance electronic architectures that support real-time processing, energy
-
This PhD opportunity at Cranfield University invites candidates to explore the integration of AI into certification and lifecycle monitoring processes for safety-critical systems. The project delves
-
conduct interdisciplinary research combining software engineering, artificial intelligence, IoT development, and human-computer interaction to create intelligent software systems that serve both technical
-
Development courses and unique in the academic sector, industry-scale experimental facilities. The interview process will involve applicants demonstrating alignment of technical competency and motivation
-
the development of specialized hardware architectures capable of efficient, real-time processing. Embedded AI hardware architectures, including neuromorphic processors and low-power AI accelerators