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We have 54 Data Analysis PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Manchester
Data Analysis PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Manchester
We have 54 Data Analysis PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Manchester
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Understanding regulation of gene expression during development via an integrated computational analysis of ‘omics data
Embryonic development requires exquisite control of the expression of large numbers of genes, integrating components from the genome, transcriptome and proteome. Read more
Using statistical and functional analysis to investigate the contrasting disease specific roles of IL6R and the chr17q12 locus in the development of rheumatoid arthritis and asthma
The Arthritis Research UK and Respiratory Centres at the University of Manchester have extensive research programmes investigating the genetic components of rheumatoid arthritis (RA) and asthma. Read more
Learning chemical reactions from simulated and measured data
Applications are invited for a fully funded 4-year PhD project within the Mathematics and Data in Scientific and Industrial Modelling (MADSIM) Centre (. Read more
Application of machine learning algorithms to medical images and clinical/DNA data
This project will develop an automated classifier or the estimation of prognosis of the illness using medical images of the human body, clinical data, and gene information. Read more
Respiratory Viruses in Care Homes: Development of Transmission Models
The objective of the 2 PhD studentships are to develop simulation-based models to explore the transmission of respiratory viral pathogens in vulnerable settings. Read more
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(MRC DTP CASE) Development of deep learning methods and software to infer pathway enrichment from histology images - application to liver fibrosis
Histopathological images are routinely used to characterize complex phenotypes. For example, pathologists regularly study stained images of tissue biopsies for cancer diagnosis as cancer is known to change the morphological features of cells including cell shape and size [1]. Read more
Development of deep learning methods and software to infer pathway enrichment from histology images - application to liver fibrosis
Histopathological images are routinely used to characterize complex phenotypes. For example, pathologists regularly study stained images of tissue biopsies for cancer diagnosis as cancer is known to change the morphological features of cells including cell shape and size [1]. Read more
Exploring the transcriptomic and chromatin landscapes of fibroblast-like synoviocytes in rheumatoid arthritis
Genetic studies in rheumatoid arthritis (RA) have been successful in identifying regions of the genome which contribute to disease risk, but it is often unclear which genes they effect. Read more
(EPSRC DTP) Using decision-analytic models to determine the environmental impact of early diagnosis of cancer patients
Climate change is a defining crisis that is gaining the attention it needs. Healthcare forms 5% of the entire carbon footprint of the UK. Read more
Combining Synthetic Biology and Modelling to Understand and Predict Evolution
Mutations, and their effects on organismal fitness, lie at the heart of understanding and predicting evolution. Because of its central role in determining evolutionary outcomes, much experimental and theoretical effort has been put into describing the fitness effects of mutations. Read more
Volatilomics and metabolomics towards development of wearable sensor for non-invasive measurement of sebum metabolites
Sebum, a waxy lipid-rich biofluid, is produced from the sebaceous gland and is traditionally connected with skin conditions such as acne1, psoriasis2 and seborrhoea3. Read more
How do mammalian cells handle mRNA therapeutics: Optimising the molecular basis of manufacture
The use of mRNA to generate vaccines against COVID-19 has cemented the potential for nucleic acids to develop approaches to prevent viral infection and to have wider applications in the treatment of life-threatening cancers (Nature [2021] 589. Read more
New NMR methods for complex structural studies
Knowing the structures and behaviour of molecules is crucial for understanding the world around us and for the development of new chemical products, drugs and materials. Read more
Individual risk prediction modelling in pregnancy; the development and validation of algorithms for the future use in clinical practice
Clinical prediction models (CPMs) are mathematical models/algorithms that take what we know about a person and predict the probability of experiencing a subsequent outcome using a regression model or algorithm. Read more
Transferability of genetic risk scores for complex human diseases across diverse population groups
Genome-wide association studies (GWAS) have been extremely successful in identifying DNA variants that are associated with a wide range of complex human traits and common diseases. Read more