Sort by
Refine Your Search
-
taken up by 1st October 2024. Applicants must live within a reasonable distance of the University of Leeds whilst in receipt of this scholarship. Lead Supervisor’s full name & email address Dr. Wuhu Feng
-
overall porosity increase and volume expansion have only been observed in unconfined cases, where reaction rates are appreciable. This PhD project will work alongside leading teams within the University
-
developing Generation IV nuclear reactors. With the complication of Salts chemistry and the extreme conditions to operate, the material degradation behaviour when the components are subject to mechanical
-
Funding A highly competitive EPSRC Quantum Technologies Doctoral Training Partnership Studentship offering the award of fees, together with a tax-free maintenance grant of £19,237 per year for 3.5 years. Training and support will also be provided. Lead Supervisor’s full name & email...
-
A highly competitive EPSRC Quantum Technologies Doctoral Training Partnership Studentship offering the award of fees, together with a tax-free maintenance grant of £19,237 per year for 3.5 years. Training and support will also be provided. Lead Supervisor’s full name & email address Professor...
-
-set. You will be funded for 3 years and will pursue a doctoral degree during this time. This DR position is based at the University of Leeds and will involve expanding and developing our iSIM (instant
-
the Schools of Chemistry and Chemical Engineering at the University of Leeds, will investigate flow chemistry and machine learning approaches for the development of an automated reaction screening platform
-
(France), and University of Leeds (UK). The advertised position is for DCR4. The PhD project (DCR4) investigates impurities in the pure CO2 stream produced from CO2 capture. Small impurities will be carried
-
effective tool for providing an improved understanding of the underpinning science of precipitation processes and optimising the reactor design and safe operating conditions to produce crystals with a
-
an appropriate field of Engineering. Exceptional candidates with a First Class Bachelor’s Degree in an appropriate field will also be considered. Subject Area Artificial Intelligence, Computer Vision