Begin forwarded message:

From: Crispin Miller <[log in to unmask]<mailto:[log in to unmask]>>
Subject: PhD position
Date: 26 September 2014 13:28:13 BST
To: Crispin Miller <[log in to unmask]<mailto:[log in to unmask]>>

Dear colleagues,
We have an exciting PhD position starting in September 2015 to apply HPC and statistical techniques to the analysis of cancer datasets. I wonder whether you’d be able to circulate, and to bring to the attention of talented and motivated candidates.

Many thanks in advance, and apologies for the intrusion!
Crispin

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Noncoding RNA regulators of gene expression in individual tumour cells
RNABiology/Computational Biology<http://www.cruk.manchester.ac.uk/Research/CRUK-MI-Groups/RNA-Biology-Computational-Biology/Home>
Group Leader: Crispin Miller
The goal of this project is to use computational tools to ask how patterns in gene expression are disrupted in cancer. The project will suit a graduate student from a computational background with exceptional programming ability and strength in mathematics and statistics.
The main focus of our group is directed at understanding the role played by noncoding RNAs (ncRNAs) in modulating the behaviour of cancer cells. These are RNA molecules that are transcribed, but never translated into protein sequences. Advances in sequencing technology have revealed large numbers of novel ncRNA loci in the genome, to the point where they are now known to outnumber protein-coding genes. Whilst most are uncharacterised, recent work has shown an increasing number to be functional – and to act in a variety of regulatory roles within the cell. The successful applicant will join a highly interdisciplinary team comprising numerical- and biological-scientists who together exploit the power of new technologies such as single-cell RNA sequencing and protein mass spectrometry to investigate the fundamentals of gene expression in cancer. This project will involve applying machine learning and pattern recognition techniques to high volumes of RNA-sequencing data representing a combination of single cells, clinical samples, and experimental data generated using cell lines.
The scale of the data mean that novel algorithms will be required in order to achieve the volume of computation required, and this will involve programming on the latest architectures. The successful applicant will make extensive use of our on-site High Performance Computing (HPC) facility, purpose built for the analysis of cancer genomics data. Experience coding in C, C++ or Java are critical, and familiarity with aspects of graph theory, machine learning, and parallel programming will be advantageous. While an understanding of basic genomics and cancer biology would be useful, it is not a prerequisite; the project is open to an enthusiastic individual from a numerical discipline who wishes to use their skills to help develop a better understanding of the processes that control gene expression, and how they are perturbed in tumours.
Further details can be found at: http://www.cruk.manchester.ac.uk/Education/PhD-Studentships/2015-Projects/Crispin-Miller

Crispin Miller | Group Leader RNA Biology Group | Computational Biology | CRUK Manchester Institute
CRUK Lung Cancer Centre of Excellence | Movember Belfast-Manchester Centre of Excellence
The University of Manchester | Wilmslow Road
Manchester M20 4BX | United Kingdom
Tel: +44(0)161 446 3176 | Fax: +44(0)161 446 3109
Email: [log in to unmask]<mailto:[log in to unmask]> Web: www.cruk.manchester.ac.uk<http://www.cruk.manchester.ac.uk/> Twitter: @CRUK_MI<http://www.twitter.com/cruk_mi>


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