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PhD Studentship in Genetic Epidemiology / Statistical Genetics
Fixed-term: The funds for this post are available for 4 years in the first instance.
For further details:
https://platelets.group.cam.ac.uk/vacancies/studentship-april-2015 <https://platelets.group.cam.ac.uk/vacancies/studentship-april-2015>
To apply:
http://www.jobs.cam.ac.uk/job/6746/ <http://www.jobs.cam.ac.uk/job/6746/>
Please direct enquiries to Dr Kate Downes ([log in to unmask] <mailto:[log in to unmask]>) or Dr William Astle([log in to unmask] <mailto:[log in to unmask]>)
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We are offering a PhD studentship in genetic epidemiology/statistical genetics. The student will work in the computational biology team in the Platelet Biology group at the University of Cambridge. The laboratory, led by Prof Willem H Ouwehand, is dedicated to understanding the formation of myeloid blood cells and their function in healthy individuals and in individuals with rare inherited diseases of the blood stem cell and its progeny.
The team applies computational and statistical techniques to analyse and interpret experimental and epidemiological data generated by the laboratory and our collaborators. Rapid advances in bio-molecular technologies mean that it is now affordable to measure human genetic variation, gene expression and blood cell function systematically in large numbers of individuals.
The focus of this project is to understand how and why variation in the properties of myeloid blood cell formation and their function affect susceptibility to diseases such as stroke and heart attack. The research student will work to understand the biological mechanisms generating variation in the function of human myeloid blood cells using data generated from experimental and population studies.
The precise direction of the research will be agreed on appointment but possibilities include:
-investigating the genetic determinants of variation in megakaryocyte/platelet gene expression and function
-investigating the relationships between myeloid cell phenotypes, cell function and gene expression in healthy individuals and individuals with rare inherited diseases
-investigating relationships between the function of myeloid cells involved in cardiovascular disease
-investigating networks of gene and proteins that alter myeloid cell function and thus disease risk
Applicants should hold or expect soon to be awarded a first or good upper second class honours degree at bachelors or masters level. A strong quantitative background is essential. Applicants should have specialized at degree level in a subject such as statistics, mathematics, physics or computer science or have studied for a biological or general natural science degree with a strong quantitative component. The appointee will receive the necessary training in applied statistics, genetics and epidemiology. However, prior experience of and an aptitude for computer programming are highly desirable.
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