Allison WilburApplications of advanced data analysis approaches to gravitational-wave astronomy and beyond
Applications of advanced data analysis approaches to gravitational-wave astronomy and beyond
About the Project In 2015, the kilometre-scale LIGO laser interferometers observed tiny ripples in spacetime called gravitational waves from colliding black holes. This detection won the 2017 Nobel Prize and … Read More Read More
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Cristiano SantosUsing machine learning to predict cell-type specific effects of genetic variants which influence genome regulation
Using machine learning to predict cell-type specific effects of genetic variants which influence genome regulation
About the Project UK Dementia Research Institute (UK DRI) Centre at Imperial PhD Studentship in Machine Learning for Genomics Imperial College London, White City Campus, London, UK Applications are invited … Read More Read More
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Kevin WestMarine match-mismatch: the ecological consequences of climate driven changes in migration and reproductive phenology in the sea
Marine match-mismatch: the ecological consequences of climate driven changes in migration and reproductive phenology in the sea
About the Project Phenology is the study of seasonal biological events, such as migration, egg laying, or flowering. The iconic ‘match-mismatch hypothesis’ (Cushing, 1974, 1975) predicts that changes in phenology … Read More Read More
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Rebecca ShepherdDescribing Chemical Simulation with a Bayesian Worldview
Describing Chemical Simulation with a Bayesian Worldview
About the Project DESCRIBING CHEMICAL SIMULATION WITH A BAYESIAN WORLDVIEW Analysis of experimental techniques is becoming increasingly reliant on computational chemical simulations. However, our simulations often fail to cover experimental … Read More Read More
Categories:Machine learning for studying supernovae
Machine learning for studying supernovae
About the Project Supernovae are the explosive deaths of certain types of star at the ends of their lives. They play an important role in the Universe, being the key … Read More Read More
Categories:Bayesian Deep Learning for cosmology with Euclid
Bayesian Deep Learning for cosmology with Euclid
About the Project This project will focus on the combination of cutting-edge Deep Learning and statistical methods to enable cosmological inference from next-generation facilities such as the European Space Agency’s … Read More Read More
Categories:Ecological geometry: applying geometric and topological concepts and tools to model how animals interact with each other and their environment
Ecological geometry: applying geometric and topological concepts and tools to model how animals interact with each other and their environment
About the Project These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level … Read More Read More
Categories:Statistical inference for epidemics models
Statistical inference for epidemics models
About the Project Mathematical models have been established as an important tool for capturing the features that drive the spread of a disease, predicting the progression of an epidemic and … Read More Read More
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Jim TaylorLeveraging species’ geography to predict and mitigate biodiversity loss with global change
Leveraging species’ geography to predict and mitigate biodiversity loss with global change
About the Project This studentship will investigate how species’ geography can be used to predict and mitigate the negative effects of ongoing global changes, including climate and land use change. … Read More Read More
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jj GreenMathematical Modeling Ph.D.
Mathematical Modeling Ph.D.
About the Project Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. These models can be linear or nonlinear, discrete or continuous, deterministic or stochastic, … Read More Read More
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