Emploi

Vous trouverez dans cette rubrique les offres de stage, de thèses, de post doctorats, de CDD et CDI à pourvoir dans les laboratoires partenaires du réseau.

Liste des annonces

2016/07/12 Ingénieur en traitement d’image, Bordeaux

Le candidat aura pour rôle le développement d’outils de traitement d’images et leur automatisation en se basant sur les travaux réalisés par les équipes de recherche du site spécialisées dans ce domaine.
Son travail devra permettre à l’ensemble de la communauté en Imagerie Biomédicale d’utiliser de manière simple les nouvelles méthodes de traitement d’images et les appliquer sur un grand nombre d’examens. Les outils qu’il développera seront essentiellement utilisés pour la Neuro-Imagerie chez l’homme et le traitement des images anatomiques, de diffusion et d’IRM fonctionnelle de repos et d’activation.
Le développement d’outils plus spécifiques à l’imagerie pré-clinique (segmentation en imagerie cardiaque, IRMf chez le petit animal, …) pourra également être réalisé.

Le poste est ouvert à partir du 1er Septembre 2016 pour une durée de 1 an renouvelable.

2016/06/28 Permanent researcher position, BrainOmics, Neurospin, CEA

The recruited researcher will explore the role of genetics and environmental disturbances in the variability of rich phenotypes originating from imaging and/or medical, behavioral scores. In collaboration with neuroscientists and physicians, she/he will perform works to discover new biomarkers and markers/models for basic research in neurosciences (e.g. development, ageing). The research will be (not exclusively) performed on the neuroimaginggenetics cohorts being built at NeuroSpin (IMAGEN, EU-AIMS, Senior, ...) for studies in neuroscience, neurodegenerative diseases, psychiatry, oncology (radiomics) or preclinical studies.

Essential Skills and Qualifications

· Ph.D. in applied mathematics, bioinformatics, image processing, biostatistics, machine learning, genetic epidemiology or related disciplines.
· Initial training or current position should bring knowledge in genetics, genetics epidemiology or genomics.
· Experience in applying and developing Machine Learning techniques in massive high-dimensional data. Any experience related to the use/development of biostatistics, machine learning, graphical models for association, heritability, integration studies between imaging phenotypes and genetic, epigenetic and gene expression measures.
· Experience in scientific programming ideally in Python. Experience with domain frameworks in Biostatistics (R/Bioconductor, Galaxy) Neuroimaging (Nipype, SPM, FSL, BrainVisa), Machine Learning (Scikit-learn).
· Good communication skills to work in a multi-professional team. Interest and knowledge in neuroimaging, neuroinformatics and bioinformatics will be appreciated. The candidate has a PhD and spent one or more PostDoc periods in scientific fields related with imaging-genetics. Ideally, she/he published several papers as a first author, and built a professional network in related scientific fields.

The position is very interdisciplinary, and proficiency in each domain is not expected. Therefore, candidates demonstrating skills in one or two domains and a motivated interest in innovative and interdisciplinary approaches are welcome.

Starting time: end of year 2016
Expected answers before end of July 2016
Interviews of the applicants in September 2016.

http://tinyurl.com/NS-ImagingGenetics

2016/06/28 Permanent researcher position, BrainOmics, Neurospin, CEA

The recruited researcher will explore the role of genetics and environmental disturbances in the variability of rich phenotypes originating from imaging and/or medical, behavioral scores. In collaboration with neuroscientists and physicians, she/he will perform works to discover new biomarkers and markers/models for basic research in neurosciences (e.g. development, ageing). The research will be (not exclusively) performed on the neuroimaginggenetics cohorts being built at NeuroSpin (IMAGEN, EU-AIMS, Senior, ...) for studies in neuroscience, neurodegenerative diseases, psychiatry, oncology (radiomics) or preclinical studies.

Essential Skills and Qualifications

· Ph.D. in applied mathematics, bioinformatics, image processing, biostatistics, machine learning, genetic epidemiology or related disciplines.
· Initial training or current position should bring knowledge in genetics, genetics epidemiology or genomics.
· Experience in applying and developing Machine Learning techniques in massive high-dimensional data. Any experience related to the use/development of biostatistics, machine learning, graphical models for association, heritability, integration studies between imaging phenotypes and genetic, epigenetic and gene expression measures.
· Experience in scientific programming ideally in Python. Experience with domain frameworks in Biostatistics (R/Bioconductor, Galaxy) Neuroimaging (Nipype, SPM, FSL, BrainVisa), Machine Learning (Scikit-learn).
· Good communication skills to work in a multi-professional team. Interest and knowledge in neuroimaging, neuroinformatics and bioinformatics will be appreciated. The candidate has a PhD and spent one or more PostDoc periods in scientific fields related with imaging-genetics. Ideally, she/he published several papers as a first author, and built a professional network in related scientific fields.

The position is very interdisciplinary, and proficiency in each domain is not expected. Therefore, candidates demonstrating skills in one or two domains and a motivated interest in innovative and interdisciplinary approaches are welcome.

Starting time: end of year 2016
Expected answers before end of July 2016
Interviews of the applicants in September 2016.

http://tinyurl.com/NS-ImagingGenetics

2016/06/23 Post-doctoral position in 3D imaging, Lyon

A Postdoctoral position is available for a highly motivated Scientist to join an ongoing research program focused on three dimensional micro-imaging of bone tissue. The position is available in the team “Tomographic Imaging and Therapy” of the CREATIS laboratory specialized in multi-modality Medical Imaging.

Research project:
The team is working with the ESRF (European Synchrotron Radiation Facility) in Grenoble, to develop new imaging methods based on Synchrotron Radiation micro and nano Tomography (SR micro and nano-CT) to characterizing bone tissue.

The medical context of this work is the understanding of bone fragility in disease such as osteoporosis. In the past, extensive work has been devoted to the characterization of the trabecular and cortical bone micro-structure. However, at the cellular scale, the osteocyte system which plays a fundamental role in bone mechano-transduction has received less attention.
To quantify bone tissue at this scale, we use a new state-of-the-art technique developed at the ESRF: synchrotron magnified X-ray phase nano-CT which provides 3D images at spatial resolution up to 30nm.

The goal of the proposed work is to develop 3D image analysis methods to quantify structures at this scale, including the bone cell network and collagen fiber (in particular their 3D orientation).
The work requires methodological developments regarding data acquisition and 3D image analysis (image segmentation and image quantification) with the constraint to process very large data sets (>32 GB/image).

This project will be held in a multidisciplinary and international environment. It is done within the context of the ANR MULTIPS project including 5 research partners in complementary fields: physics, ultrasound imaging, biomechanics, bone research and image analysis.

Date : Sept 2016 – Dec 2017

2016/06/23 Post-doctoral position in 3D imaging, Lyon

A Postdoctoral position is available for a highly motivated Scientist to join an ongoing research program focused on three dimensional micro-imaging of bone tissue. The position is available in the team “Tomographic Imaging and Therapy” of the CREATIS laboratory specialized in multi-modality Medical Imaging.

Research project:
The team is working with the ESRF (European Synchrotron Radiation Facility) in Grenoble, to develop new imaging methods based on Synchrotron Radiation micro and nano Tomography (SR micro and nano-CT) to characterizing bone tissue.

The medical context of this work is the understanding of bone fragility in disease such as osteoporosis. In the past, extensive work has been devoted to the characterization of the trabecular and cortical bone micro-structure. However, at the cellular scale, the osteocyte system which plays a fundamental role in bone mechano-transduction has received less attention.
To quantify bone tissue at this scale, we use a new state-of-the-art technique developed at the ESRF: synchrotron magnified X-ray phase nano-CT which provides 3D images at spatial resolution up to 30nm.

The goal of the proposed work is to develop 3D image analysis methods to quantify structures at this scale, including the bone cell network and collagen fiber (in particular their 3D orientation).
The work requires methodological developments regarding data acquisition and 3D image analysis (image segmentation and image quantification) with the constraint to process very large data sets (>32 GB/image).

This project will be held in a multidisciplinary and international environment. It is done within the context of the ANR MULTIPS project including 5 research partners in complementary fields: physics, ultrasound imaging, biomechanics, bone research and image analysis.

Date : Sept 2016 – Dec 2017

AI CNRS « développement d’applications informatiques » au CENIR, Paris (EPR)

Mission :
Dans le cadre du fonctionnement du Centre de Neuro-Imagerie de Recherche (CENIR), plateforme de neuro-imagerie multi-modalités (IRM, MEG, EEG, TMS, Marche) de L'Institut du Cerveau et la Moelle Epinière (ICM), l'assistant-ingénieur(e) a pour mission, de développer :
- des outils informatiques fondamentaux (gestion des plannings, système centralisé de gestion de fiches d'informations sur les protocoles, bases de données connectées aux équipements, permettant un suivi de l'activité et de la facturation en relation avec les services administratifs de l'ICM)
- des outils de reporting.

Il/elle est amené(e) à interagir avec l'ensemble du personnel du CENIR, et avec les fonctions supports de l'ICM.

Activités :

Activités principales
- Prendre en main et assurer un état des lieux des applications logicielles existantes au CENIR : outil de planning, système centralisé des fiches d'informations sur les protocoles, bases de données connectées aux équipements, outils de reporting.
- Participer à l'établissement du cahier des charges d'évolution des applications en contact étroit avec les ingénieurs de la plateforme.
- Assurer la programmation et les tests des nouvelles fonctionnalités
- Prendre en charge, tout ou partie, de la mise en oeuvre opérationnelle et le déploiement de l'application auprès du personnel de la plateforme et des fonctions support
- Rédiger des documentations techniques pour les modules développés

Activités associées
- Maintenir les logiciels, diagnostiquer et corriger les dysfonctionnements
- Assurer l'assistance technique auprès des utilisateurs et les former pour la mise en oeuvre

Profil complet : http://web-rh.dsi.cnrs.fr/profilprd/PG_PROFIL_PUBLIC_REFERENS.pAfficheProfilPublic?destination=EPR2016&hidIdConcours=22611
Conditions EPR : https://www.dgdr.cnrs.fr/drhita/concoursita/epr/savoir-epr.htm

La campagne de recrutement sera close le 30 juin 2016.

AI CNRS « développement d’applications informatiques » au CENIR, Paris (EPR)

Mission :
Dans le cadre du fonctionnement du Centre de Neuro-Imagerie de Recherche (CENIR), plateforme de neuro-imagerie multi-modalités (IRM, MEG, EEG, TMS, Marche) de L'Institut du Cerveau et la Moelle Epinière (ICM), l'assistant-ingénieur(e) a pour mission, de développer :
- des outils informatiques fondamentaux (gestion des plannings, système centralisé de gestion de fiches d'informations sur les protocoles, bases de données connectées aux équipements, permettant un suivi de l'activité et de la facturation en relation avec les services administratifs de l'ICM)
- des outils de reporting.

Il/elle est amené(e) à interagir avec l'ensemble du personnel du CENIR, et avec les fonctions supports de l'ICM.

Activités :

Activités principales
- Prendre en main et assurer un état des lieux des applications logicielles existantes au CENIR : outil de planning, système centralisé des fiches d'informations sur les protocoles, bases de données connectées aux équipements, outils de reporting.
- Participer à l'établissement du cahier des charges d'évolution des applications en contact étroit avec les ingénieurs de la plateforme.
- Assurer la programmation et les tests des nouvelles fonctionnalités
- Prendre en charge, tout ou partie, de la mise en oeuvre opérationnelle et le déploiement de l'application auprès du personnel de la plateforme et des fonctions support
- Rédiger des documentations techniques pour les modules développés

Activités associées
- Maintenir les logiciels, diagnostiquer et corriger les dysfonctionnements
- Assurer l'assistance technique auprès des utilisateurs et les former pour la mise en oeuvre

Profil complet : http://web-rh.dsi.cnrs.fr/profilprd/PG_PROFIL_PUBLIC_REFERENS.pAfficheProfilPublic?destination=EPR2016&hidIdConcours=22611
Conditions EPR : https://www.dgdr.cnrs.fr/drhita/concoursita/epr/savoir-epr.htm

La campagne de recrutement sera close le 30 juin 2016.

2016/06/01 Imaging Research Scientist

Key responsibilities

As Site Scientist in the Hospices Civils de Lyon, you will first collaborate with the clinical site pre-clinical and clinical teams and Philips group to focus ideas, derive agreed timelines, and evaluate resulting prototypes.
You are responsible to design, develop and implement a Research Plan that is consistent with the CRB (Clinical Research Board), IS (Imaging Systems) and IT initiatives, and also playing on the strengths of the Academic site itself.
You will provide leadership in authoring of technical reports, publication in peer-reviewed journals as well as preparing submissions for European Commission research grants.
Becoming responsible for coordinating work between the Philips stakeholders and the clinical site, you will act as the single point of contact for the Academic center of the HCL as well as Philips for the GOPI Research Agreement.

Your team

The Site Research Scientist will report to the Head of the CRB in Europe, a cross-Business, global organization providing scientific support and expertise to research initiatives.

Our offer

The position offers much room for initiatives in research topics and design as well as for publishing and for extending scientific reputation. You will integrate a multidisciplinary and multi-site team and have the opportunity to have very diverse and enriching interactions with Philips internal stakeholders (Intellectual Property, Legal, Philips Research.) as well as a broad network of physicians and researchers in Lyon.

2016/06/01 Chercheur en imagerie, Philips, Lyon

Principales responsabilités

En tant que Chercheur aux Hospices Civils de Lyon, vous collaborez avec les équipes pré-cliniques et cliniques présentes sur site ainsi que les équipes Philips afin de définir les idées à développer ainsi que la durée des projets, et d’évaluer les prototypes attendus.
Vous créez et implémentez un plan de recherche en cohérence avec les initiatives du CRB (Clinical Research Board), des équipes Imaging Systems et IT, tout en vous appuyant sur les ressources du site.
Vous supervisez la rédaction des rapports techniques, des publications dans les revues scientifiques et vous préparez les demandes de subventions de recherche auprès de la Commission Européenne.
En tant que coordinateur/rice des travaux entre Philips et le site clinique, vous agissez comme point de contact unique pour les HCL et Philips dans le cadre du Research Agreement GOPI.


Votre équipe

Le chercheur GOPI rapporte au Directeur du CRB Europe, une organisation cross-business globale au sein de Philips qui apporte un support et une expertise scientifiques aux projets de recherches de Philips.


Notre offre

Le poste offre une liberté d’initiative importante concernant les projets de recherche, ainsi que pour les publications et le développement de la réputation scientifique de Philips. Vous intégrerez une équipe multidisciplinaire et multi-sites, et vous aurez l’opportunité de d’interagir avec une grande variété de fonctions au sein de Philips (Legal, propriété intellectuelle, Philips Research) ainsi qu’avec un large réseau de spécialistes et de chercheurs sur site.

2016/08/26 Post-doctoral position in pre-clinical ultrasound and optical imaging, Paris

Our team in involved in the H2020 European Project Folsmart ( http://cordis.europa.eu/project/rcn/200186_en.html ) dedicated to the treatment of rheumatoid arthritis using a new strategy targeting folate receptors with a liposome-based nanovector. We are in charge of the pre-clinical evaluation of this nanovector and the investigation of its mechanism of action in mice. We will use in vivo imaging techniques to address these questions, including high resolution ultrasound, opto-acoustics (also called photoacoustics), in vivo bi-photon imaging and ultra-fast ultrasound imaging.

We offer a 2-year post-doctoral position to implement these tools in order to characterize and provide early assessment of the therapy in preclinical models of rheumatoid arthritis. Date of Employment should be between 17th October and the end of December 2016.

References:
Enhancing Methotrexate Tolerance with Folate Tagged Liposomes in Arthritic Mice. Nogueira E, Lager F, Le Roux D, Nogueira P, Freitas J, Charvet C, Renault G, Loureiro A, Almeida CR, Ohradanova-Repic A, Machacek C, Bernardes GJ, Moreira A, Stockinger H, Burnet M, Carmo AM, Gomes AC, Preto A, Bismuth G, Cavaco-Paulo A. J Biomed Nanotechnol. 2015 Dec;11(12):2243-52.
Ultrasound and Doppler micro-imaging in a model of rheumatoid arthritis in mice. Clavel G, Marchiol-Fournigault C, Renault G, Boissier MC, Fradelizi D, Bessis N. Ann Rheum Dis. 2008 Dec;67(12):1765-72.
Single-side access, isotropic resolution, and multispectral three-dimensional photoacoustic imaging with rotate-translate scanning of ultrasonic detector array. Gateau, J., Gesnik, M., Chassot, J.-M., & Bossy, E. (2015). Journal of Biomedical Optics, 20(5), 056004.

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