Sort by
Refine Your Search
-
substantial hurdles for storage, transmissibility, and long-term curation. This PhD project aims to address these challenges by researching and developing specialized lossless and lossy compression methods
-
. This PhD project aims to create advanced XCT workflows by developing Artificial Intelligence (AI) and Machine Learning (ML) tools to support imaging before the reconstruction phase. The research will focus
-
processing conditions. The PhD will be roughly broken down into these components: A literature search in the processing and formability of ruthenium and its alloys at high temperature Thermomechancial
-
Collaborative EPSRC Doctoral Landscape Award. Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend - See advert for
-
University of Warwick –Collaborative EPSRC Doctoral Landscape Award. Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend
-
high-risk movements during poor network conditions. This predictive capability will help maintain safe and stable human–robot interaction. This PhD project, delivered in collaboration with clinical
-
Collaborative EPSRC Doctoral Landscape Award Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend - See advert for details
-
University of Warwick – Collaborative EPSRC Doctoral Landscape Award. Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend
-
Project Abstract: This PhD project addresses strategic UK priorities in advanced power semiconductor technologies supporting net zero, electrification, and grid resilience. The research will focus
-
University of Warwick – Collaborative EPSRC Doctoral Landscape Award. Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend