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We have 20 multivariate PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
multivariate PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 20 multivariate PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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Computational neuroscience: Statistical signal processing for multivariate neuronal data, Neural computing with Spiking neural networks.
How does the human brain work? As you read this text, the pixels on your screen are converted into a series of spike trains passing along the neural pathways in your brain, allowing you to understand the content. Read more
PhD Scholarship in Biostatistics / Health Data Science
Fully Funded PhD Scholarship in Health Data Science working on development of statistical methods in longitudinal monitoring of clinical data. Read more
Doubly Stochastic and Hidden Markov Models with Environmental Applications.
This project plans to develop stochastic point process models based on doubly stochastic and hidden Markov processes to model environmental time series. Read more
Machine learning for affective manipulation in music brain computer interfaces
At the University of Reading, we have created one of the first music brain computer interfaces (BCI). Read more
SCENARIO: Quantifying UK hydroclimatic variability on centennial timescales (ref. SC2023_01)
Water resources management systems have evolved to accommodate the range of hydrological variability experienced over decades – typically, the period from the 1960s/1970s, which is when most UK river flow records commenced. Read more
Network meta-analysis of diagnostic test accuracy studies via factor copula mixed models (NIKOLOULOPOULA_U23CMP)
The identification of the most accurate diagnostic test for a particular disease contributes to the prevention of unnecessary risks to patients and healthcare costs. Read more
PhD Scholarship Advertisement: Next-Generation Wearable Sensor Platform for Vital Signal Monitoring
A scholarship ($32,500 per year for up to 3.5 years) is available for a cross-disciplinary PhD project at the Future Industries Institute, University of South Australia. Read more
Explainable artificial intelligence in Bayesian machine learning research and applications
Artificial intelligence (AI) has been successfully applied to various applications with the breakthrough of deep learning (DL) in recent years. Read more
Precision Nutrition for Gut Health: Development of a novel seaweed-containing, gut microbiota targeted nutraceutical
We seek a student with an interest in cross-disciplinary research approaches to better understand the impact of gut microbiota targeted dietary interventions on health. Read more
Development of new tools to understand and predict polymer degradation
A PhD studentship is available focussing on developing new tools and models to assess environmental degradation of polymers, with the aim of producing a predictive model of biodegradation. Read more
Understanding alpha particle radiation-induced DNA damage repair and transdisciplinary approaches to environmental cancer prevention and early detection
The GOAL of this work is to find effective ways to reduce the future burden of environmental cancers, including lung cancers caused by radioactive radon gas, air pollutants, and heavy metals in our air and water, using biology and epidemiology with a strong emphasis on knowledge implementation and science communication. Read more
Automated control system for sample preparation
Project Code. EPSRC_2023_11. Project Introduction. Cryoelectron microscopy is a technique for investigating biological and other unstable samples by immobilising them in a thin film of ice for electron microscopic imaging and analysis. Read more
Fully-funded PhD by Research Studentship in Advanced Neutron-Counting Algorithms
This PhD project is a joint collaboration between Lancaster University and Mirion Technologies. The nuclear engineering group at Lancaster have broad… Read more
Kernel methods for system identification with application to the analysis and classification of cardiovascular time series
Supervisory Team: Dr Andrea Lecchini-Visintini, Prof David Simpson. Project description. Read more
Optimisation surface characterisation
Many projects in Engineering and Computer Science involve global multivariate optimisation. Classical methods include genetic algorithms, simulated annealing and particle filters. Read more
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