Medicine: UKRI CDT Ph.D. at Swansea: AI-based Approaches multidimensional Functional Genomics
This scholarship is being brought up by the UK government, to help individuals who are having challenges with sponsoring themselves at the University
Start date: The scholarship will commence by October 2021.
Applications are encouraged from all individuals from every part of the world, who can contribute positively to the development of the country.
The UK Research and Innovation (UKRI) Centre for Doctoral Training (CDT) in Artificial Intelligence, Machine Learning, and Advanced Computing (AIMLAC) is aimed at bringing out the talent from individuals who aspire to become innovators.
There are several training which is being offered via this Scholarship, and the doctoral training covers the following area.
- All science areas, such as physics, chemistry, geophysics, computer science.
- T2: biological, clinical Sciences, and health (medical imaging, bioinformatics, electronic health records, )
- T3: physical, and computer science approaches (data, hardware, software, algorithms) novel mathematics.
Professor Paul Rees (Engineering)
Professor R. S. Conlan (Medical School)
Professor D. Gonzalez (Medical School)
Dr. L.W. Francis (Medical School)
Department: School of engineering, and department of medical sciences.
This mission will boost the essential grasp of the purposeful genomics fame and dynamic responses in most cancer environments, with challenge possibilities together with single mobile and spatial useful genomes along with transcriptome and epigenome analysis.
Project examples include:
Exploring the spatial epigenomics of 3D cellular fashions to understand the impact of pharmacological interventions on histone methylation (e.g. H3K4Me3, H3K9me2, H3K27me3). Epigenome profiling in response to interventions will be assessed at the cellular level using the Microscopic Imaging of Epigenetic Landscapes approach involving excessive content multi-parameter information acquisition and evaluation to reconstruct high-resolution spatial epigenome models.
Single telephone and spatial evaluation of most cancers practical genomes got the use of 10X Genomics systems to generate data from immune cell phone enhances (ATAC and RNA seq) or spatial evaluation of tumor biopsies (10 X Visium, RNA seq) from gynecological cancer patients.
Cell painting and/or data mining approaches developed in Swansea will be applied to overcome challenges for excessive content contrast which consists of function extraction and facts analysis, and interpretation requiring the use of AI utilized sciences (using Swansea’s new ATOS supercomputing capability). The profitable applicant will enhance and enforce AI especially based techniques for the high-content information generated from cellular fashions of tumor microenvironments/cancer affected character samples the use of optimum and computationally steeply-priced algorithms.
The profitable applicant will be part of the Reproductive Biology and Gynaecology Oncology research team in Swansea’s Medical School in collaboration with Professor Paul Rees in Swansea’s College of Engineering
Fully-Funded UKRI CDT International PhD Scholarships Benefits
This scholarship covers the full price of tuition fees and an annual UKRI general stipend of £15,609.
Additional funding is reachable for training, research, and conference expenses.
How To Apply for Fully-Funded UKRI CDT International PhD Scholarships
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