21 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology"-"https:" PhD positions at University of Warwick
Sort by
Refine Your Search
-
About the project: Turning Up the Heat: Modelling and Scale-Up of Thermochemical Energy Storage Supervisor: Dr Ferran Brosa Planella, University of Warwick Heating accounts for nearly half of global
-
modelling, the project will explore innovative structural solutions to enhance performance and ruggedness for grid-scale and high-power applications. The student will be supervised by Professor Marina
-
Centres Research area and project description: Artificial intelligence (AI)-based technologies are being adopted across various sectors at an unprecedented scale. However, the computing resources required
-
Robotic-assisted surgery is rapidly expanding in the UK, with over 100,000 procedures performed in 2024 alone. Emerging 5G and future 6G networks are making remote surgery increasingly feasible
-
faster patient recovery. In the UK, the number of robotic-assisted procedures has increased by 626% from 2017 to 2024, with over 100,000 procedures performed in 2024 alone, and continued rapid growth is
-
About the project: Machine learning accelerated Inverse Design of Graphene Nanoribbons for Green Energy Supervisor: Dr Sara Sangtarash, University of Warwick Thermoelectric materials convert heat
-
-of-the-art simulation algorithms to circumvent the slow dynamics leading to high-quality modelling of currently inaccessible experimental quantities. About HetSys: Harnessing Data, Modelling and Simulation
-
technology. Hydrogen fuel cells can produce clean electricity from hydrogen and oxygen, but their performance and cost are limited by platinum-based catalysts. This project will use advanced computational
-
manufacturing, residual stress forces hidden within a material can cause serious problems, compromising performance and reliability. Magnetic non-destructive testing (mNDT) experiments involve measuring a
-
to enhance performance & longevity; and interplay between degradation modes. Characterization methods will include bespoke microscopy facilities, in-house and Synchrotron & neutron operando studies, and