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2018/03/20 – Post-doctoral position in radiomics of liver diseases, LBI – CRI, Paris

France Life Imaging

Paris

Sur place

EUR 35 000 - 50 000

Plein temps

Il y a 30+ jours

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Résumé du poste

Un laboratoire de recherche en imagerie à Paris recherche un candidat pour un poste postdoctoral en radiomique des maladies hépatiques. Le titulaire développera de nouvelles méthodes pour l'analyse d'images IRM afin d'extraire des biomarqueurs d'importance clinique. Les candidats doivent posséder un MD ou un PhD en disciplines pertinentes, combiner expertise en programmation et une bonne communication interdisciplinaire. Le contrat initial est de 12 mois, renouvelable.

Qualifications

  • Expertise en imagerie par IRM quantitative et analyse d'image.
  • Compétences en biostatistiques appréciées.
  • Connaissance en physiopathologie hépatique valorisée.

Responsabilités

  • Développer, implémenter et valider des méthodes de post-traitement d'images IRM.
  • Obtenir des biomarqueurs d'imagerie pour des maladies hépatiques chroniques et des tumeurs hépatiques.

Connaissances

Expertise en imagerie par IRM quantitative
Programmation C++
Programmation Matlab
Intégration de données hétérogènes
Connaissance en physiopathologie hépatique
Anglais courant
Compétences en communication

Formation

MD ou PhD en physique, mathématiques appliquées, informatique ou ingénierie biomédicale
Description du poste
Overview

Type de structure : A postdoctoral position in radiomics of liver diseases is currently available at the Laboratory of Imaging Biomarkers of the Center of Research on Inflammation UMR 1149 INSERM - University Paris Diderot. The Center for Research on Inflammation Research, Inserm unit UMR1149, was created in 2014 and is distributed on the Bichat and Beaujon university hospital sites in Paris. The team "Laboratory of Biomarkers in Imaging", led by Prof. Bernard Van Beers, has as main objective the development of new imaging biomarkers for liver and abdominal diseases. This objective is pursued mainly with MRI through fundamental, methodological and applied approaches in preclinical and clinical studies. Involving researchers, medical doctors and engineers, the research team is characterized by strong interdisciplinarity.

Contexte et mission

With high-throughput computing, it is now possible to extract innumerable quantitative features from MR images. Moreover, image data are increasingly interpreted in light of complementary data coming from other modalities, including genomics, transcriptomics and metabolomics. Thus, novel challenges in terms of data extraction, analysis and integration are emerging in the field. In response, novel methods such as machine learning or generalized statistical tools are gaining acceptance in the scientific and medical communities. In this context, the proposed position involves the development, implementation and validation of novel post-processing methods of MR images to obtain imaging biomarkers of chronic liver diseases and liver tumors. The position has a 12-month initial employment basis and is renewable.

Lieu

Bichat and Beaujon university hospital sites in Paris

Diplômes requis

MD or PhD in physics, applied mathematics, informatics or biomedical engineering

Compétences requises

Strong expertise in quantitative MR imaging and image analysis, including C++ and Matlab programming. Skills in biostatistics, including heterogeneous data integration will be highly appreciated. Knowledge in liver physiopathology will also be strongly valued. The candidate should be fluent in English (and preferably in French), have good communication skills to interact in different research fields (physics, biology, radiology, hepatology, pathology, computer science) and high rigor in methodological approaches.

Contact

To apply, please email your curriculum vitae, scientific publications in the research field and a cover letter stating your interests and future goals to: Bernard Van Beers, MD, PhD, Philippe Garteiser, PhD, Laboratory of Imaging Biomarkers, UMR 1149 INSERM – University Paris Diderot Bichat Medical School 16 rue Henri Huchard, F-75018 Paris. bernard.van-beers@inserm.fr ; philippe.garteiser@inserm.fr ; http://www.cri1149.fr

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