15 condition-monitoring-machine-learning PhD positions at The University of Manchester
Sort by
Refine Your Search
-
Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
-
students or EU students with settled status. The successful candidate will receive an annual tax-free stipend based on the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend
-
aspects of machine learning. Applications include improving the efficiency of data assimilation methods and understanding why and how deep learning works. Applicants should have, or expect to achieve
-
sluggish diffusion kinetics of HEAs make them excellent candidates for resisting oxidation and corrosion in high-temperature steam. Guided by thermodynamic modelling and machine learning, we will identify
-
of reinforcement learning or agent-based systems. LanguagesENGLISHLevelExcellent Research FieldComputer science » Computer systemsYears of Research Experience1 - 4 Additional Information Benefits • Full funding
-
to also improve and scale the process. We have made major contributions in this area, including the use of Machine learning to discover new cryoprotectants [Nature Communications 2024, 15, 8082
-
understanding of the underlying mechanisms, (2) optimise the process with online monitoring to ensure high consistency of quality, (3) use the knowledge gained to understand the opportunities and limitations
-
to build molecular machines and new materials. The ability of their subcomponents to undergo large amplitude displacement, such as macrocycle shuttling in a rotaxane, make them ideal structures
-
. More specifically, to (1) identify the advanced laser-matter interaction controls by achieving an understanding of the underlying mechanisms, (2) optimise the process with online monitoring to ensure
-
Deadline: 12.12.25 How to apply: https://uom.link/pgr-apply-2425 For UK students This 3.5-year PhD studentship is open to Home (UK) applicants and EU students with settled status. The successful