Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
students for fully-funded PhD studentships to carry out multidisciplinary research in the world-transforming field of Artificial Intelligence, commencing 1st October 2024. The studentships will have a
-
project would focus on investigating the use of artificial intelligence (AI)-driven inverse modelling to iteratively fine-tune laser parameters (e.g., power, focus, speed) and material properties (e.g
-
, however these remain largely uncharacterised. Aim By using phonon microscopy and artificial intelligence, you will have the opportunity to demonstrate the existence, relevancy and applicability
-
View All Vacancies Engineering Location: UK Other Closing Date: Wednesday 21 February 2024 Reference: ENG1711 Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: To investigate how deviations in healthcare service can be reduced using...
-
the areas of: Sustainable/resilient chemical supply chains Artificial Intelligence /Machine Learning for the prediction of bulk properties in performance molecules and materials Synthetic electrochemical
-
care – [email protected] Project 7: Anticipating the impact of Artificial Intelligence (AI) therapists – [email protected] How to apply To apply for this PhD opportunity, please
-
View All Vacancies Engineering Location: Jubilee Campus Salary: £30,487 to £39,347 per annum, (pro rata if applicable) depending on skills and experience (minimum £33966 with relevant PhD). Closing
-
investigate the implementation of life-long learning artificial intelligence using reinforcement learning (RL) for battery disassembly. Aim You will have the opportunity to join a multidisciplinary team of
-
-Computer Interaction research into the interactions between human teams and Artificial Intelligence (AI) agents in underwater maritime applications. This is a collaborative doctoral training project with BAE
-
microscopy data will be analysed using a range of machine learning techniques and artificial intelligence. This project is based on a long-term collaboration between the Biophotonics Group (School of Physics