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We have 284 Data Analysis PhD Projects, Programmes & Scholarships

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Data Analysis PhD Projects, Programmes & Scholarships

We have 284 Data Analysis PhD Projects, Programmes & Scholarships

Metabolomic characterisation of adiposity across the life course

There is evidence that adiposity, measured by body mass index (BMI), causally influences a range of health outcomes, but little understanding of the mechanisms driving BMI effects. Read more

Deep Learning for Critical Care Monitoring

Consultants within their intensive care units are presented with rich and diverse information that can inform on the immediate health status as well as provide the foundation for longer term prediction on patient health outcomes. Read more

Intelligent Maritime Systems: Advancements in Situational Awareness through Artificial Intelligence

Embark on a transformative PhD opportunity in marine engineering, where you will pioneer the development of cutting-edge digital tools and algorithms to enhance the perception capabilities of future intelligent marine systems. Read more

Metamaterials for catalysis

A meta-atom is an engineered sub-wavelength structure that, when periodically arranged like an atomic lattice, enable optical, electronic, thermal, and chemical functionalities not seen in conventional designs. Read more

Probing the star-forming ISM with fine structure lines

Supersonic turbulent motions are thought to play a major role in the star formation process in galaxies. Theories have suggested that turbulence is responsible for shaping the interstellar medium (ISM), regulating star formation, and even setting the masses of stars as they form in young clusters. Read more

Characterisation of tissue microstructure from non-invasive MRI using Machine Learning

The characterisation of biological tissue microstructure in vivo and non-invasively is of outmost interest in science. If successful, it could reveal unique insights into biological processes, including aging and cancer. Read more

Go On, Disturb the Flow

Supervisory Team. Dr. Swathi Krishna, Prof. Bharath Ganapathisubramani. Project description. If you are a student of aerodynamics, chances are that you have drawn a conventional airfoil with nice, laminar incoming flow at some point. Read more

Widening participation in economic evaluations alongside randomised controlled trials: developing resource-use questionnaires for underserved populations

When conducting a trial-based economic evaluation to assess the cost-effectiveness of a new treatment or drug, it is necessary to measure both the benefits (such as quality of life) and the costs associated with delivering the intervention[1]. Read more

Identification of key features in high-dimensional fluid flow

Prof. Xuerui Mao’s research group at Beijing Institute of Technology (BIT) is recruiting a PHD student on data science related with high-dimenional fluid flow, with potential topics depending on the expertise and interest of the candidate. Read more

Coupling of fluid flow with multiple physics

Prof. Xuerui Mao’s research group at Beijing Institute of Technology (BIT) is recruiting a PHD student on simulation or experiments of complex fluid flow coupled with multiple physics, with potential topics depending on the expertise and interest of the candidate. Read more

Inflammatory Arthritis in Childhood: Impact, Outcomes and Safety of Treatment

Juvenile Idiopathic Arthritis is the most common inflammatory arthritis of childhood. Although less common than arthritis in adults, a diagnosis of arthritis in a child can have lasting impacts on that child and their families through their entire lifespan. Read more

Optimal prediction of dynamical systems with incomplete data

Dynamical systems describe a variety of real-life problems related to evolution over time. It is often the case that the problems are so complicated that mathematical models for them either do not exist or are not accurate enough. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

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