Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
EngD: Exploring effective and efficient use of CO2 for drilling of novel CFRP fibre stack materials (sponsored by Kennametal) EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital
-
castings industry. The AMRC Castings Group is a leader in advancing casting technologies and techniques. Our team provides advanced casting expertise, including computer process modelling, design for casting
-
supports the semi-automated checking of research outputs, including machine learning and Artificial Intelligence models. Working closely with the Research and Innovation Platforms Team, you will oversee
-
of robotic equipment within bespoke cells to improve the efficiency and performance of machines. Provide guidance, assistance and technical advice with programming and integration of associated software and
-
machine learning, this project will develop and validate a multi-time scale digital twin concept for advanced condition monitoring and maintenance of direct-drive permanent magnet generators and converters
-
themselves up, start moving, and adapt to the situation while sensing their environment is becoming a reality. The question of how an origami “machine” made of passive self-folding materials, which is bound by
-
-resolution imaging and reconstruction of neural tissues (see https://ist.ac.at/en/research/siegert-group/). Leveraging computational tools such as machine learning and topological data analysis, we will
-
, advanced statistical methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and
-
Early-stage failure prediction in fusion materials using machine learning
-
/interview) A degree (Bachelor’s, Master’s, or PhD or equivalent experience) in Software Engineering, Computer Networks, Embedded Systems, AI, Data Engineering, or a related subject (assessed at: application