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2018/02/08 – (Senior) Research Associate in Medical Image (48 months)

Published on::8 February 2018
Location::CERMEP - Bron - 69
Job type ::Permanent contract
Type of position ::-
Language ::Français

Background and mission :

The primary responsibility will be to develop and evaluate novel data analysis algorithms and to facilitate pre clinical and clinical implementation of novel technology. The person will also assist with pre-clinical and clinical studies (e.g. facilitating data transfer and adherence to quality standards, analysis of results and reporting). It is anticipated that the outcomes of the research will lead to publications and presentations at local and international conferences.
SPCCT research engineer position requires an individual who is professional, self-learner, with can-do approach, team player and good communication skills. In this role, you will be part of an international and multidisciplinary research team that is developing a new spectral photon counting CT system (SPCCT).
Examples of current analysis development linked to clinical research projects are listed below:
• Characterizing and Improving Quantification of spectral CT Biomarkers for Evaluation of Disease Progression and Treatment Effectiveness in cardio and neuro vascular disease.
• Analysis of multi-parametric MRI and spectral CT data for cardio and neuro vascular applications including CT and MR perfusion.
Anticipated projects include:
• Evaluation of novel contrast media for spectral CT imaging for cardio and neuro vascular applications.
Responsibilities:
– Coordinate the research project activity (review project definition for appropriateness, advise on best ways to use the scanner, scan and analysis scheduling, results consolidation) for all activities using the SPCCT system.
– Develop and validate novel algorithms applicable to SPCCT, and dual energy CT, pre-clinical and clinical research studies.
– Ensure effective communication between the multi international partners in academia and clinicians and research for the timely completion of research projects wherein those partners are using the SPCCT system.
– Managing all the data being generated by the system, research databases, system configuration, updates, and data manipulation, including images transferred/stored in the PACS or other archival systems
– Assist in developing new tools and algorithms for analyzing, viewing and processing spectral CT data.
– Work with the project partners to assist and sometimes perform data analysis.
– Work with the SPCCT research operator to assure smooth daily operation of the system and sometimes execute scanning for the research projects and assist or execute scanning of animals when part of the pre-clinical research projects
– Participate in publications of results, including manuscript writing.
– Explore and propose and potentially lead new research opportunities for the system.
– Present the SPCCT Project and research results at workshops and conferences.
Grade: (Senior) Research Associate (Grade 7 or 8)
Start: As soon as possible
This post is initially for a period of 48 months.

Diplomas required :

PhD

Skills required:

See above

Compensation :

Salary Scale: Grade 7 -, Grade 8 – per annum

Structure :

The University Claude Bernard Lyon 1 in the framework of the SPCCT European project (Spectral Photon Counting Computed Tomography) opens a 2-years position in the field of biomedical imaging.
The post holder will work as part of a multidisciplinary team responsible for the research and will interact and work under the guidance of other more senior staff; he will be based in the CERMEP (CERMEP-Imaging of living organisms (biological and medical imaging platform dedicated to clinical and fundamental research)). The position offers considerable scope for personal development. UCBL offers a range of staff training and development courses that will be available to the successful candidate. UCBL is an equal opportunities employer.

Contact::

Application by email to Pr. Loic Boussel, (CREATIS-UCBL-HCL): philippe.douek@creatis.insa-lyon.fr and loic.boussel@chu-lyon.fr

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