23 post-doc-image-engineering-computer-vision PhD positions at The University of Manchester
Sort by
Refine Your Search
-
Alex Leung (Mechanical Engineering at UCL) will also collaborate. he specialises in imaging of additive manufacturing and will support the project by assisting with the in-process monitoring. We expect
-
(HVDC) technology will be used to bundle energy from several windfarms and transport to load centres. Future offshore wind farms are expected to be further optimized either functionally or in
-
-free stipend based on the UKVI amount (£20,780 for 2025-26). We expect the stipend to increase each year. This studentship is related to a multi-institutional EPSRC Programme Grant “AMFaces: Advanced
-
for over a century, the fundamental physio-chemical processes governing tree initiation and propagation remain inadequately understood, representing a significant scientific and engineering challenge
-
approaches, assess mechanical and filtration performance post-regeneration, and quantify environmental trade-offs using ISO 14040/44-compliant lifecycle assessment frameworks. Guided by the principles
-
systems. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. *Solid background in
-
to increase each year. Tuition fees will also be paid. Home students are eligible. A funded PhD studentship is available in the field of computational inorganic chemistry. The project will involve prediction
-
a highly motivated candidate with: A first-class or upper second-class degree (or equivalent) in Materials Science, Chemistry, Physics, Chemical Engineering, or a related discipline. Experience in
-
should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. To apply, please contact
-
, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Strong background/skills on machine learning, mathematics, probabilistic