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POST DOCTOTAL OFFER "Deep learning for contrast-enhanced Ultrasound"
Entreprise:BRACCO SUISSE SA, Employeur direct
Adresse:Route de la galaise 31, 1228 Plan les Ouates, ***CH Suisse/ Schweiz/ Switzerland***
E-mail:gislaine.cornu@bracco.com
Numéro de téléphone:+41 22 8848824
Numéro de fax:+41 22 8858885
Contacter BRACCO SUISSE SA   |  Enregistrer cette offre  |  Toutes les offres de cet employeur
 
Description du poste↓Profil de l'employeur↓
 
Date de publication16.11.2020
Numéro de référenceGC/NM
Domaine d'activité
Informatique/ Développement de logiciel
Lieu de travail***CH Suisse/ Schweiz/ Switzerland***, 1228 Plan les Ouates
Expérience professionnelle réquiseoui
Expérience professionnelleJunior Professional (1 à 3 ans d'experience)
Diplôme universitairePhD
Brève descriptionBracco Group (www.bracco.com) is a leader in contrast agents for medical imaging. The R&D is articulated between three Group’s centers which together form one of the world’s most important know-how network. The three centers – whose competences are geared to continuous innovation– work on a coordinated basis. Based in Geneva (Switzerland), we are looking for a

Post-Doctoral fellowship offer
Deep learning for contrast-enhanced Ultrasound
Description complèteContext:
Using Contrast Agents in Ultrasound (US) significantly extends the use of this imaging modality in characterizing blood perfusion features and even enables advanced analyses like Molecular Imaging and microvascular architecture characterization.
We believe at Bracco that Deep Learning (DL) techniques can and will bring this modality to higher levels of robustness and efficiency and allow it to better support diagnostic imaging standardization efforts. DL would reduce operator dependency, support spatiotemporal imaging features interpretation and solve complex/ambiguous cases, reducing subjective analyses and may be outperforming experts.
In this context the R&D team in Geneva is looking for motivated research scientist to join us in leveraging this exciting challenge and develop novel applications of DL in Contrast-Enhanced US.

Activities:
 Contribute to the research and development of innovative applications of Deep Learning in Contrast-Enhanced Ultrasound imaging (CEUS) analysis and interpretation.
 Contribute to the valorization of these innovations via patents, if applicable, and scientific communications.
 Work in an ISO 13485-certified environment for medical software applications.

Profile:
 PhD in Deep Learning applications, preferably medical image and/or image sequences analysis.
 Excellent skills CNNs and recurrent networks.
 Good practices of Python programming and DL frameworks (Keras-Tensorflow, pytorch)
 Knowledge of C#/.NET, F# or C++ is a plus.
 Experience with medical imaging is an asset but is not mandatory.
 Active attitude and teamwork spirit.
 Good oral and writing skills in English.

We offer:
 A challenging research project with means to succeed and collaborations with highly qualified clinical experts.
 A work environment with state-of-the-art technologies.
 An extremely stimulating field of research within a highly specialized and qualified scientific environment.
 An international company working on medicinal products with high added value.
Offre d'emploi (voir PDF ->)AI-post-doc team Software 10.2020
 
  
 
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