105 high-performance-computing positions at University of Sheffield in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
-sequence in a biorefinery as a superstructure optimization problem 2. Develop algorithms to solve the challenging superstructure optimization problem 3. Find the optimal unit operation and materials
-
performed well in Domino’s preliminary in-house trials. This copolymer was prepared directly in aqueous media using a technique called polymerisation-induced self-assembly (PISA). Prof. Armes is one
-
Decarbonising construction: Advanced spectroscopic approaches to understand nanostructural development and phase evolution in high-performance, low-carbon cements School of Chemical, Materials and
-
design, ensuring gas flow is not lost through leakage, is an essential requirement for efficient performance and low specific fuel consumption, and is achieved by having very tight clearances between
-
efficient manufacturing processes that drive significant improvements in production output, cost-effectiveness, and overall industrial performance for our customers. Our projects are collaborative and often
-
models? How can machine learning and computer vision models be adapted to accurately classify the different tool wear mechanisms (like abrasion, adhesion, diffusion, and fracture) from high-resolution
-
, as part of the collaborative UK Japan civil nuclear research programme . The ideal candidate will have a strong background in cement chemistry and engineering, or a relevant discipline. They will also
-
Tailoring the Thermomechanical Properties of High Performance Aerospace & Automotive Composite Materials School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Dr
-
the EPSRC Doctoral Landscape Award at the University of Sheffield. This project applies breakthrough causal AI to reveal how repairs and maintenance really affect performance—driving smarter, safer decisions
-
Advancing Blood Pressure Monitoring with Wearable Technology and Multimodal AI (S3.5-COM-Sun) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Shaoxiong Sun