(BBSRC DTP) Using multilayer networks to organise and model cellular function
Division of Evolution & Genomic Sciences
Dr J-M Schwartz, Dr G Nenadic, Prof D Robertson
31 January 2019
Most biological functions arise from complex sets of physical interactions between proteins and various regulatory pathways, which are extremely difficult to reconstruct, represent and analyse manually.
Assessing temporal stability of bioscience evidence base
Prof J Koricheva, Prof E Kulinskaya
15 February 2019
World-class bioscience is critically dependent on statistical methodologies allowing synthesis of available bioscience data for generating new biological understanding and development of policies and management strategies.
Dimension-free Structure-aware Data Analytics: From Theory to Practice
Dr A Kaban
22 January 2019
High dimensional data comes with computational, statistical, inferential, geometric, and interpretational challenges in general. However, the inherent difficulty of these problems may vary hugely across problem instances and particular data sets.
Machine Learning for Understanding the Political Economy of a Global Coal Phase-Out
Prof J Minx, Prof J Ford, Prof L Berrang-Ford
7 January 2019
A timely phase-out of coal is a necessary condition to achieve the ambitious long-term climate goals of the Paris Agreement (Rockström et al 2017) and a major step towards a more responsible management and use of natural resources and the environment as a whole.
The Origin of Galaxies and Clusters
Prof S Eales, Dr N Peretto, Dr S Doyle
18 January 2019
The first galaxies and clusters are largely hidden by interstellar dust from optical telescopes and are most easily found in submillimetre surveys, which detect the radiation from the dust.
Economic removal of zinc from scrap steel
Dr C Laycock
20 January 2019
*This is a KESS 2 East scholarship opportunity. Please note the eligibility information in the advert text or contact the team for further information.*.