Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Cambridge
- University of Oxford
- Imperial College London
- AALTO UNIVERSITY
- University of Newcastle
- Heriot Watt University
- University of Sheffield
- University of Liverpool
- ; University of Cambridge
- Aston University
- Durham University
- KINGS COLLEGE LONDON
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Leicester
- University of Nottingham
- 7 more »
- « less
-
Field
-
deep generative models, e.g., diffusion, energy based, normalizing flow or transformer-based models. With a focus on the particular domain of molecules. The project will contribute to accelerate the drug
-
purified polysaccharides for promising functional profiles (based on comparing to baseline data established for currently used polymers). The choice of polysaccharides would be guided by prior knowledge
-
environmental impacts of digital activities. You will lead projects modelling the energy usage of different computing equipment (personal computers, servers, High-Performance Computing infrastructure
-
prostate cancer risk across diverse ethnic groups. This work aims to support more equitable risk stratification in cancer screening programmes. Using simulations based on multistate modelling framework
-
Modelling post combustion amine CO2 capture plant School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin Hughes
-
computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
-
of Finland Research Fellow (RCF) project led by Dr. Adolfo O. Fumega. The PhD researcher will work on functional quantum materials based on multiferroic heterostructures, with a focus on multiferroic
-
emissions, and enhance occupant health and wellbeing. As a Research Assistant, you will work closely with UK- and Egypt-based teams to analyse collected data, develop and test computer-based retrofit models
-
computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
-
equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new optimization techniques, coding new algorithms, creating new mathematical