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Exploring fundamental physics with gravitational waves

The Project aims to develop new theoretical techniques and utilise them to model and analyse various gravitational wave signals within the alternative theories of space, time and ma more...

Supervisor(s): Kobakhidze, Archil (Associate Professor)

CONNECTING NUTRITIONAL GEOMETRY WITH SUSTAINABLE DEVELOPMENT

The project will deal with connecting nutritional geometry principles developed by Profs Stephen Simpson and David Raubenheimer at the Charles Perkins Centre of the University of Sy more...

Supervisor(s): Lenzen, Manfred (Professor)

VULNERABILITY AND RESILIENCE IN FOOD AND NUTRITION PROVISION

Primary producers of agricultural commodities and consumers of food items desiring a balanced nutrition and health are linked by a global supply-chain system, in which demand and su more...

Supervisor(s): Lenzen, Manfred (Professor)

A NEW APPROACH TO CALCULATING FOOD MILES

Originally launched in the UK in the mid-1990s, the food-miles concept was later applied in the USA, Canada and Spain. Food miles were calculated using a method that is deficient be more...

Supervisor(s): Lenzen, Manfred (Professor)

REGIONAL ECONOMIC DYNAMICS IN CHINA AND WHAT THEY MEAN FOR SUSTAINABILITY

This project will employ structural decomposition analysis and a comprehensive Chinese database (Wang et al. 2015; Wang 2017) to analyse changes in China’s economic structure more...

Supervisor(s): Malik, Arunima (Dr)

Time-series biomarkers of neurological disorders

This research will develop a new machine learning framework for finding and quantifying patterns of brain dynamics that distinguish patients with brain disorders from healthy contro more...

Supervisor(s): Fulcher, Ben (Dr)

Highly comparative time-series analysis

This research involves developing new methods for time-series analysis based on a new analytic framework for understanding structure in time series. more...

Supervisor(s): Fulcher, Ben (Dr)

Physical models of whole-brain gene coexpression patterns

This research will develop simple physical models to explain patterns of whole-brain gene expression observed across mouse neurodevelopment. more...

Supervisor(s): Fulcher, Ben (Dr)

Inferring the dimensionality of dynamical systems automatically using machine learning

This research will develop methods to infer the dimensionality of a dynamical system automatically, by adapting dimensionality reduction methods to high-dimensional time-series feat more...

Supervisor(s): Fulcher, Ben (Dr)

REBOUND EFFECTS AND ADDITIONALITY IN CARBON FOOTPRINTS OF GLOBAL TOURISM

This project will employ multi-region input-output analysis (Isard 1951; Leontief 1953) and a comprehensive global database (Lenzen et al. 2012; Lenzen et al. 2013; Lenzen et al. 20 more...

Supervisor(s): Lenzen, Manfred (Professor), Malik, Arunima (Dr)