61 computer-algorithm-"St"-"Washington-University-in-St"-"St" positions at Cranfield University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
-
through the EU Research Framework Programme? Not funded by a EU programme Reference Number 5153 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty
-
Framework Programme? Not funded by a EU programme Reference Number 5151 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering and Applied Sciences
-
for Security Operations Centres (SOCs) while pioneering strategies for quantum-era resilience. This project sits at the intersection of Artificial Intelligence, Cybersecurity, and Explainable Computing. It
-
together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working
-
Framework Programme? Not funded by a EU programme Reference Number 5122 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering and Applied Sciences
-
Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
-
a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We
-
at Cranfield We are committed to fostering equity, diversity, and inclusion in our CDT program, and warmly encourage applications from students of all backgrounds, including those from underrepresented groups
-
into electronic systems or enhancing electronic performance and resilience with AI techniques. With access to cutting-edge facilities, expert supervision, and strong industry collaborations, this program is ideal