25 data-science-"https:"-"https:"-"https:" PhD positions at The University of Manchester
Sort by
Refine Your Search
-
which will bring the annual income to a minimum of £28,405.40per annum. We expect the stipend to increase each year. Tuition fee costs will be covered by School of Engineering. We seek to appoint one
-
which will bring the annual income to a minimum of £28,405.40 per annum. We expect the stipend to increase each year. Tuition fee costs will be covered by School of Engineering. We seek to appoint one
-
before the deadline. In many applications such as biological sciences, social science, and engineering, we encounter high-dimensional observations. Bayesian approach can provide a flexible modeling
-
Department: Chemical Engineering Title: The mitochondrion as an engineering target for mammalian cell factories Application deadline: 24/07/2026 Research theme: Biotechnology How to apply: https
-
backgrounds such as AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas are encouraged to apply
-
This 3.5-year PhD project is fully funded by The Department of Mechanical and Aerospace Engineering; students who are eligible to pay tuition fees at the Home rate are eligible to apply
-
backgrounds such as AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas are encouraged to apply
-
that you apply early as the advert may be removed before the deadline. This project is a collaborative initiative between SLB and the University of Manchester, aimed at developing a data-driven digital twin
-
Application deadline: 19/07/2026 This 3.5 year PhD is funded by the Department of Mechanical and Aerospace Engineering and is available to UK-based students. The successful candidate will receive
-
universities (The University of Manchester , University of Glasgow and University of Oxford ). Robotics and Autonomous Systems (RAS) is an essential enabling technology for the Net Zero transition in the UK’s