Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Particle size distribution in flue gases for carbon capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin
-
, high-speed parallel processing of powdered feedstock benefits from precise control over material microstructure and offers improved part functionality in a wide range of applications. Students will have
-
Neutron total scattering (Pair Distribution Function analysis), as well as scanning and transmission electron microscopy (SEM & TEM). Main duties and responsibilities Undertake the programme of work and
-
Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
-
Energy-efficient collective decisions in robot swarms School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof James Marshall Application Deadline: 27 February 2025
-
this project you will develop and test a range of these inhibitory peptides, based on prototypes already developed in the lab. In parallel you will develop a recombinant method of peptide production that will
-
flares using the assumption of hydrogen recombination continuum emission, in place of a blackbody estimate. In parallel, but not in collaboration, Pietrow, Cretegnier, Druett et al. (2024) have advanced
-
Computational modelling of the emergence of somatosensory cortical maps School of Psychology PhD Research Project Self Funded Dr Hannes Saal, Dr SP Wilson Application Deadline: Applications
-
. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
-
of distributed or decentralized forms of MPC (in which several MPC controllers are spread throughout the network and make control decisions independently) but this raises its own questions and challenges: where