Vous êtes ici : Accueil » Kiosque » Annonce

Identification

Identifiant: 
Mot de passe : 

Mot de passe oublié ?
Détails d'identification oubliés ?

Annonce

19 janvier 2021

Post-doctorant en informatique médicale


Catégorie : Post-doctorant


Post-doctorant en informatique médicale - 24 mois - Brest

 

Context

ISEN Yncréa Ouest is a French graduate engineering school offering multidisciplinary engineering programs with majors in 17 scientific fields related to sciences and digital technologies (embedded electronics, computer science, internet of things, mobile robotics, artificial intelligence, business engineering, bio technologies, energy and sustainable development, etc.).
 
We train engineers that meet the needs of local, national and international companies. Our engineering degree is approved by the French engineering qualification board (CTI).I SEN Yncréa Ouest has been experiencing a strong growth for the past few years, both in terms of students and staff.
 
Based in Brest, Nantes, Caen and Rennes, the main missions of our teams are research and education. A large segment of the engineering curriculum is developed by a team of more than 50 researchers of our research laboratory L@bISEN. The research activities focus on smart and autonomous systems (information processing and decision, sensors network, energy). Our laboratory is most dynamic, with publications in top-ranked journals.
 
At the crossroads between information processing and the world of sensors, Medical informatics is an area of interest that L@bISEN is currently developing through collaborative efforts with hospital-based research groups.
 
In this context, we are recruiting a postdoctoral fellow for 18 months in Brestin the field of Medical informatics.
 
Subject
Genetic alterations include large genomic rearrangements and point mutations.They can cause severe human diseases such as inherited genetic disorders, infertility or cancer. Large genomic rearrangements result in deletions, duplications, translocations, and inversions. Karyotyping is the unique method to detect chromosome aberrations at the single cell level.
 
A quick and accurate detection of those abnormalities is crucial for appropriate diagnosis and disease management of disorders of genetic origin. Currently, karyotyping is performed out after cultivating cells, spreading their chromosomes on slides and reading theses slides on microscope. Chromosome classification is then performed manually on a dedicated software tool.
 
While the first steps are semi-automated, the identification of chromosome aberrations is still performed manually. It requires a high level of expertise and extensive training. Consequently, there is an urgent need to provide specialists with decision-making support tools for the automatic detection of chromosome abnormalities. This is the goal of the proposed project.
 
Using image processing and artificial intelligence, the produced tools should allow accelerating diagnosis, prognosis and patient follow-up in the management of inherited and somatic genetic diseases
 
Requirements
The candidate should:
• have an affinity for developing and validating advanced techniques in the field of genetics
• hold a PhD degree in Computer Science, preferably in Medical Informatics
• have good software development and scripting languages skills
• have good skills in data/image processing and artificial intelligence
• be able to work in a multidisciplinary environment (genetics specialists, computer science)
• have good communication, interpersonal, writing and problem solving skills•be creative and autonomous
• be fluent in French and in English
 
A taste for teaching is also an appreciated skill, as the position involves lecturing activities.
 
Work context
Type of offer: fixed-term contract (CDD)
Contract period: 12 months, possibly renewable once
The post-doctoral position may be converted into a full-time research/teaching position in our institution at the end of the contract.
 
Application and deadlines
To apply for this position, please send your CV and a cover letter before: March 31st 2021.
Starting date: May 3rd 2021.
 
Contacts
• Marwa Elbouz, marwa.el-bouz@yncrea.fr, lecturer researcher in signal/image processing, head of LSL team
• Jean-Marie Guyader, jean-marie.guyader@yncrea.fr, lecturer researcher in medical informatics, member of the VISION and Data Analysis team
• Marie-Bérengère Troadec, marie-berengere.troadec@univ-brest.fr, professor in Genetics-hospital practitioner, University of Brest; Brest University Hospital (CHRU); INSERM 1078
 

Dans cette rubrique

(c) GdR 720 ISIS - CNRS - 2011-2020.