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CDD Ingénieur FLI-IAM Open Data et interopérabilité

Published on:14 April 2021
Location:Inria centre of research Rennes - Bretagne Atlantique/ Team Empenn - Campus universitaire de Beaulieu Avenue du Général Leclerc - Rennes
Job type :Permanent contract
Type of position :-
Language :Français

Background and mission :

CONTEXTE

France Life Imaging (FLI) is a large-scale research infrastructure project aimed at establishing a coordinated and harmonized network of biomedical imaging in France. This project was selected by the call “investissements d’Avenir” as an “Infrastructure in Biology and Health”. Its objective is a) to coordinate nationwide research activities concerned with in vivo imaging and combine the skills to push the current technological barriers, and b) to provide scientists a convenient access to a complete range of imaging technologies (150 imaging systems) and integrated services. Within this infrastructure, the Node “Image Analysis and Management” (IAM) is coordinated by Inria.
The objective of this node is to propose an infrastructure to store, manage and process in-vivo imaging data coming from human or pre-clinical procedures. We contribute to an archiving and management infrastructure of in-vivo images as well as provide solutions to process and manage the acquired data through dedicated software and hardware solutions. In addition, we have built a versatile image analysis and data management solution for in-vivo imaging that will allow the interoperability between distributed production sites and distributed users, heterogeneous and distributed storage solution implementing raw and meta-data indexing.
In this context and within the last years we have collected and maintained different kind of data, using the web-based image database, called Shanoir (http://www.shanoir.org), and different kind of processing algorithms, using the web-based platform VIP (https://www.creatis.insa-lyon.fr/vip/). The goal of this position consists in working on a structured and controlled public exposition of these assets, in the philosophy of open science and open data. Any user on the web should be able to search and find potential data or algorithms of its interest hosted with FLI-IAM, using a defined and limited set of meta-data as its search criteria.

OBJECTIVES OF THE POSITION
In close cooperation with the technical manager, the main objectives of the position are:
• Open science and FAIR principles
– Exposition of data and algorithms with FLI-IAM on a publicly available website
– (portal)
– Specification of this open catalog and portal
– Implementation of this open catalog and portal
– Specify, manage and implement a common data access request

• Interoperability
– Analyze and implement new levels of interoperability between FLI-IAM and other platforms/projects, e.g. like France BioImaging (FBI, https://france-bioimaging.org)
– Interoperability with bioschema.org or other frameworks

Diplomas required :

Graduate degree or equivalent

Skills required:

3 to 5 year experience.

Compensation :

Monthly gross salary from 2562 euros according to diploma and experience – Starting date : 2021-06-01 – 12 Months fixed-term contract, renewable – Subsidised catering service and partially-reimbursed public transport.

Structure :

ABOUT THE RESEARCH CENTRE or INRIA DEPARTMENT
The Inria Rennes – Bretagne Atlantique Centre is one of Inria’s eight centres and has more than thirty
research teams. The Inria Center is a major and recognized player in the field of digital sciences. It is at
the heart of a rich R&D and innovation ecosystem: highly innovative PMEs, large industrial groups,
competitiveness clusters, research and higher education players, laboratories of excellence,
technological research institute, etc.

Contact:

Please send to Kain Michael / michael.kain@inria.fr, your resume, cover letter and letters of recommendation eventually

Other offers

2016/03/03 Post-doctoral position – multimodal SEP data, Rennes, France

Archived
Application dates :
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Location:
This post-doctoral position will take place in Rennes, France, at Inria/IRISA, UMR CNRS 6074, in the VisAGeS U746 research team. The work will be conducted in close link with the MRI experimental platform at Neurinfo (http://www.neurinfo.org) and the neurologists and radiologists involved in the project. ()
Published on:24 November 2025
Job type :-
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See the offer

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