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PhD studentship: Development of Advanced Data Analysis Methods to Translate Protein Interaction Imaging into the Clinic
Posted: January 27, 2014
Expires: March 31, 2014
Requisition number: 14/CAN/S01
Science jobs from King's College London:
Understanding protein signalling pathways at the molecular level is crucial to find new cancer treatments. Single molecule microscopy techniques have been developed and applied to study these interactions and unravel their fundamental biology. This PhD project, involving world-leading algorithm and software development, aims to remove a key data analysis bottleneck, where slow, manual work is needed to select results for modelling and interpretation. The student will develop and apply advanced data analysis methods to automate the analysis, including machine learning algorithms to automatically encapsulate the human judgements currently needed. They will incorporate these into our Bayesian analysis pipeline to enable full automation and exploitation of single molecule techniques in the clinical setting.
The PhD student will be based at the Research Complex at Harwell (http://www.rc-harwell.ac.uk). The PhD will be awarded by the Division of Cancer Studies at KCL. The student will be part of a large interdisciplinary team including physicists, mathematicians, molecular biologists, biochemists and microscopists and will benefit from day-to-day interactions with this team. The programme of work is part of a collaborative consortium led by Prof. Peter Parker (Kings College London) and Dr. Marisa Martin-Fernandez (Science and Technology Facilities Council), which also includes astronomers and engineers at Cambridge University. The PhD student will also benefit from regular interactions with the large team of scientists involved in the consortium including time with the Cambridge partners. We have got strong links with pharmaceutical and software companies and an excellent track record in retention of PhD graduates as Post Docs and Research Scientists.
The PhD student should have a strong numerical background, excellent computer literacy including programming experience, and a good general scientific understanding. All shortlisted applicants will be interviewed by at least two academics from the Division. Applications are welcomed from European Union candidates.
Award type: STFC Biomedical Network & BBSRC grants; Fees paid at UK/EU rate. Stipend at £15,726 pa. For full details, please go to: http://www.kcl.ac.uk/health/study/studentships/div-studentships/cancer/ameerbeg2014.aspx
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