2018 BRC PhD in Biomedical Informatics Programme

We are seeking to appoint outstanding science graduates to a 1+3 PhD Studentship Programme who will engage in internationally-competitive research projects. You will complete year one of the programme consisting of a rotation through three project areas and will include formal development of core and generic research skills. This will be followed by 3 years on a chosen PhD project.
Candidates must possess, or be expected to achieve, a 1st or good upper 2nd class degree in a relevant subject and must meet KCL eligibility criteria
This fellowship is open to EU and Home students only.

This call is will close on Sunday 28th January 2018 at 5pm

The full list of available projects can be found below.  Informal enquiries about PhD projects should be addressed to the designated project supervisor. Please apply via the Kings Admission Portal https://apply.kcl.ac.uk

Supervisor Project Title Theme/s Cluster

1.Ferdinand Von Meyenn

Epigenomic analysis of human ESC lines derived from human embryos cultured under varying conditions or with genetic mutations

Women’s & Childrens health

Cluster 3 – Data Analytics

3. Mario Falchi

An integrative -omics approach to disentangle the role of glycans in immune regulation

Genomic Medicine and Immunity & Infection

Cluster 2 – Precision Medicine

4. Dr Rachel Tribe

An ‘omics’ approach to understanding spontaneous preterm birth.

Women’s & Childrens health

Cluster 2 – Precision Medicine

5. Professor Lucilla Poston

An ‘omics approach to understanding relationships between maternal obesity, gestational diabetes and the health of the next generation

Women’s & Childrens health

Cluster 2 – Precision Medicine

10. Franca Fraternali

Assessing the impact of variants in Cardiomyopathies and the role of the Titin Gene.

Cardiovascular disease

Cluster 3 – Data Analytics

11. Kerrin Small

Interaction between microbes, genetics and gene expression in the gut

Genomic Medicine

Cluster 2 – Precision Medicine

12. Professor Peter Parker

Immune atlas of bone marrow in Myelofibrosis (MF)

Immunity & Infection

Cluster 2 – Precision Medicine

13. Dr. Mariam Molokhia

Informatics driven evaluation of genetic signatures for drug induced liver injury and intrahepatic cholestasis of pregnancy: Methods for developing and assessing translational risk prediction models

Genomic Medicine and Women’s & Childrens health

Cluster 3 – Data Analytics

14. Dr. Mariam Molokhia

Informatics approaches to regulatory genomics screening of drug metabolising (ADME) genes in twins

Genomic Medicine

Cluster 3 – Data Analytics

15.Karen J Liu

In silico prioritization of candidate pathogenic genes underlying craniofacial neurocristopathies

Genomic Medicine, Women’s & Childrens health, Oral Health

Cluster 3 – Data Analytics

16. Professor Manuel Mayr

Design and Development of new multi-omics bioinformatics pipelines and tools for in silico biomarker discovery

Cardiovascular disease, Genomic Medicine

Cluster 3 – Data Analytics

17. Dr David Morris

Developing clinically useful predictive models for Lupus sub-phenotypes

Genomic Medicine, Immunity & Infection, Women’s & Childrens health

Cluster 2 – Precision Medicine

18. Dr Anita Grigoriadis

Innate lymphocytes in human tissue and their role in health and disease

Immunity & Infection

Cluster 2 – Precision Medicine

19.Professor Manuel Mayr

Proteogenomics – Design and Development of New Bioinformatics Pipelines and Tools for Multi-omics Biomarker Discovery

Cardiovascular disease, Genomic Medicine

Cluster 2 – Precision Medicine

20.  Matthias Krause

Development of a pancreatic cancer cell migration and invasion high content image analysis pipeline.

Imaging Sciences

Cluster 3 – Data Analytics

21. Nick Powell

Interrogating single cell transcriptomics across the inflammatory disease spectrum

Immunity & Infection

Cluster 2 – Precision Medicine

22. Professor A. David Edwards

Machine learning and Imaging-Genomics to discover neuroprotective therapies for preterm brain

Genomic Medicine, Imaging Sciences, Women’s & Childrens health

Cluster 3 – Data Analytics

23. Steven Niederer

Biophysical Modelling, Simulation and Analysis of Acid Bile on Fetal Cardiac Electrophysiology

Cardiovascular disease, Women’s & Childrens health

Cluster 2 – Precision Medicine

24. Alessandra Vigilante

Investigating on rare genetic diseases integrating population genomic data and electronic health records

Genomic Medicine

Cluster 3 – Data Analytics

25. Sophia Tsoka

Systems Biology for Antibody-enhanced Cancer Immunotherapy

Cutaneous Medicine

Cluster 1 – Advanced Therapeutics and Experimental Medicine

26. Dr. Saeed Shoaie

Whole Body Modelling of Metabolism in Cardiovascular Disease Patients to Identify Novel Drug Targets; A Platform for Personalized Data Integrative Analysis

Cardiovascular disease, Genomic Medicine

Cluster 1 – Advanced Therapeutics and Experimental Medicine

27. Ana Rodriguez-Mateos

Nutritional genomics as an emerging tool for the prevention of cardiovascular disease

Cardiovascular disease

Cluster 3 – Data Analytics

28. Marika Charalambous

Investigating how imprinted gene misregulation causes placental failure – a new biomarker for fetal growth retardation.

Genomic Medicine, Women’s & Childrens health

Cluster 2 – Precision Medicine

29. Dr Maria Deprez (Murgasova)

Discovering biomarkers of normal and pathological brain development using genetics and multimodal MRI

Genomic Medicine, Imaging Sciences, Women’s & Childrens health

Cluster 3 – Data Analytics

30. Michael Malim

HIV-1 mediated reprogramming of T cell gene expression networks

Genomic Medicine, Immunity & Infection

Cluster 3 – Data Analytics

31. Mieke Van Hemelrijck

New statistical methods for a life-course approach to study health ageing

Genomic Medicine ,Cardiovascular disease, Cutaneous Medicine, Imaging Sciences, Immunity & Infection

Cluster 3 – Data Analytics

32. Alan Hodgkinson

Mitochondrial dysfunction in Coronary Artery Disease: the role of the mitochondrial genome and altered RNA processing.

Cardiovascular disease, Genomic Medicine

Cluster 3 – Data Analytics

2. Ammar Al Chalabi

A high throughput bioinformatics system for the analysis of ALS/MND multi-layer omics, environmental and clinical data

Genomic Medicine

Cluster 3 – Data Analytics

33. Dr Nick Dand

Clinical and genomic data analytics for improved management of psoriasis

Cutaneous medicine/ Genomic medicine

Cluster 2 – Precision Medicine