KDnuggets : News : 2008 : n05 : item23 | PREVIOUS | NEXT |
Academic/Research PositionsFrom: Moh BoughanemDate: 04 Mar 2008 Subject: PostDoc position at IRIT Lab Toulouse IAPA Project: Infrastructure to Access, Share and Analyse Biomedical Data Context: The IAPA project is funded by the Paul Sabatier University and includes the ICR (Institut Claudius Regaud, Hospital and Research Centre Institute against Cancer) as a partner. This project aims at building up a software and hardware infrastructure to allow for the cross-correlation of biomedical data coming from very diverse sources. The objective is to head for an infrastructure that will allow the synthesis and the cross-analysis of patient data in order to discover new diagnoses, therapies and treatments against cancer.
Context of the work:
PostDoc subject: 1 -* modelling of the data available within a common framework, whatever its modality (clinical images, data, gene expressions...). Then this modelling will allow to build up tools for indexing and searching of data from their storage centres. The objective of this PostDoc is thus to propose solutions making it possible to better apprehend the heterogeneity on the level of the contents of information (heterogeneity in terms of structure and formats of the data) as well as on the level of access methods to these data. For this, a proposal is to investigate the problem from 3 different axes: First is concerned with the definition of a common reference pattern (terminology and ontology) allowing for the description and annotation of the data. Second is interested in the description of the data themselves (description of the metadata associated with them). 2 - medical data mining. The candidate in this part will have to make first a state of the art of data mining technology that could be used to find some links between all the available data, and then to design (or use existing tools) such correlation extraction infrastructure. The aim is to make appear spontaneously some new knowledge, for instance concerning the therapy obtained using identified drugs over some (population of) patients. Multidimensional analysis or rule associations sets, among others can give some answers to this problematic. 3 - medical data management, especially accessing and requesting medical data on a grid. The work here consists of building on top of an existing grid middleware an efficient data management system specifically set for medical data, with special interests in security and request optimization. 4 - grid medical workflow management. In this part, the candidate will work collaboratively with medical doctors to establish the workflow of their work and to map this workflow to a grid infrastructure and the services associated with their tasks. Using already existing grid workflow middleware, the work will consist of designing the architecture/infrastructure that will allow the future integration of the different services needed in the project in a comprehensive way. When applying, the candidate should indicate in which field he/she wants to work.
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KDnuggets : News : 2008 : n05 : item23 | PREVIOUS | NEXT |
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