The University of Manchester has two postdoctoral positions available
for in Bioinformatics which involve the analysis and interpretation of
high-throughput sequencing datasets
Research Associate in Statistical Analysis and Network Inference for
‘Omics Data
You will be responsible for developing statistical algorithms for ‘omic
data analysis and implementing them as well-documented open source
packages for general use internally and externally. You will focus
primarily on the integrative statistical analysis of multiple ‘omics
datasets, including e.g. genomics, transcriptomics, epigenomics and
proteomics, with the aim of inferring the underlying networks of
interaction and regulation. You will work with leading biomedical
researchers at the University of Manchester to improve the
interpretation of their ‘omic datasets. You would be expected to have a
PhD with a significant mathematical/computational component and a strong
interest in computational biology research. This 12-month full-time post
is supported by the Wellcome Trust’s Institutional Strategic Support
Fund award to the University of Manchester in order to build capacity in
Medical Bioinformatics.
See https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=9439 for
further details
Bioinformatics Research Associate in Eukaryotic Gene Expression
You will work within two laboratories that are part of an
internationally recognised, high quality, multidisciplinary program that
investigates several diverse aspects of eukaryotic gene expression. You
will be involved in a number of projects in our labs, which use the
latest genomics technologies, including ChIP-seq and RNA-seq, to study
how cellular signaling affects chromatin structure and transcription
factor function on a genome-wide scale. Both embryonic stem cells and
mouse embryogenesis are being studied building on our recent
publications (Dev. Cell., doi: 10.1016/j.devcel.2014.12.024; Cell
Reports, doi: 10.1016/j.celrep.2014.05.037). You will join two highly
motivated research groups working on the molecular mechanisms of
eukaryotic transcription factor function in the context of
differentiation and development. You will collaborate with a
well-established Bioinformatics group to develop novel methods for ‘omic
data analysis.
See https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=9139 for
further details
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