Sort by
Refine Your Search
-
Listed
-
Field
- Computer Science
- Engineering
- Materials Science
- Economics
- Biology
- Medical Sciences
- Chemistry
- Mathematics
- Arts and Literature
- Psychology
- Electrical Engineering
- Linguistics
- Business
- Physics
- Education
- Humanities
- Philosophy
- Science
- Law
- Earth Sciences
- Social Sciences
- Sports and Recreation
- 12 more »
- « less
-
of parallel computing (GPUs) to speed solution within the optimisation process. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant
-
Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
-
research programme is to use genetic, molecular and cellular, and imaging/image analysis approaches to understand the development and function of the vertebrate inner ear, the organ of hearing and balance
-
performance of the materials. A modelling platform will be developed in this project where the effect of various compositions of additives on CFRP properties will be simulated using numerical methods
-
computing Numerical simulations Modelling Data analytics Numerical optimisation Fluid dynamics Entry Requirements If you have received a First-class Honours degree, or a 2:1 Honours degree and a Masters, or a
-
to the additive manufacture of an aluminium alloy. Develop melt pool physics simulations of the additive manufacturing process for the industry-based aluminium alloy. Develop computational methods for quantifying
-
round Details The project is aimed at taking the advantage of the enormous potentials of the fast developing computing technology and numerical methods to develop new thermal hydraulics solutions and
-
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
-
. You will take an active role in analysing, categorising and documenting the collected data, developing of vulnerability/fragility curves using numerical methods, implementing exposure models, performing