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or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition-process-structure-property
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
for industry placements, site visits, international facility visits and biannual residentials. The Project The project is led by Prof. Mercedes Maroto-Valer in collaboration with industry partner, TÜV-SÜD, and
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4-Year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr Andrew Hook Closing Date: 15 July 2025 Overview
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Primary supervisor - Prof Kate Kemsley Join us to research and develop advanced analytical methods for tackling food fraud head-on! Economically motivated adulteration of foods is a significant
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piezoelectric composites and material architecture to achieve improved electromechanical coupling and spatial resolution would be important. In addition, they should have experience in sensor array readout
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A PhD position focusing on structural and functional characterization of ciliary protein complexes derived from human cells is available in the research group of Assistant Prof. Narcis-Adrian
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-2031) advances knowledge on potential impacts of OWFs on ocean currents, suspended sediments, microscopic plankton, various life stages of fishes, seabed composition, seafloor organisms, marine mammals
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Supervisory Team: Prof. Gennaro Scarselli PhD Supervisor: Gennaro Scarselli Project description: Carbon fiber reinforced plastics (CFRPs) are popular in engineering applications due
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parameters relating to stress, metabolism, body composition, bone and muscle health, and neuroplasticity. The effects of housing conditions on the immune phenotype and immune resilience of the animals are also
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described in the project overview. Owing to the current composition of the project team, there will be a mild preference for candidates opting for project 2 on “Models and machine learning”. An explanation