27 Feb 2024
Job Information
- Organisation/Company
CNRS- Department
XLIM- Research Field
Engineering
Computer science
Mathematics- Researcher Profile
First Stage Researcher (R1)- Country
France- Application Deadline
18 Mar 2024 - 23:59 (UTC)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
35- Offer Starting Date
1 May 2024- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Within the I3M LabCom, we are working on the development of Artificial Intelligence orchestrators aimed at simplifying the deployment of algorithms closer to clinical needs. These orchestrators are currently in the development and optimization phase to meet the diverse needs of Artificial Intelligence (AI) stakeholders, particularly for active learning, generative models, and Transformers techniques. We aim to showcase the strategic advantage of these tools within healthcare structures.
The I3M utilizes 3 Tesla and 7 Tesla data in neuroimaging, along with related data (neuropsychological, biological), which are relatively rare and require specific exploitation. The selected candidate will work within the ultra-high field platform of the University Hospital of Poitiers as part of the joint laboratory I3M for the VIDALZ regional project. This project aims to develop Artificial Intelligence approaches for the early diagnosis of Alzheimer's disease. A part of this project involves developing image processing tools to analyze, integrate, and contextualize multimodal imaging data for Alzheimer's disease diagnosis within our infrastructures.
The selected candidate will work on:
• Integrating existing solutions (currently developed in the laboratory) into the LabCom infrastructure. During this integration, the candidate must evaluate the storage, processing, and data transmission capacities, as well as the system's flexibility and scalability to accommodate new AI algorithms and models.
• Developing innovative methods for processing and analyzing MRI images (3 Tesla and 7 Tesla) of various modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. The aim is to improve the accuracy of medical diagnostics, identify biomarkers, and understand the characteristics of pathologies in MRI data. These approaches should be generalizable and applicable to other pathologies such as tumors, multiple sclerosis, etc
XLIM Laboratory in collaboration with the University Hospital of Poitiers as part of the joint laboratory I3M.
The I3M Laboratory (Multi-nucleus Multi-organ Metabolic Imaging) is a joint CNRS-company laboratory, involving SIEMENS HEALTHINNERS, the University Hospital, and the University of Poitiers.
Requirements
- Research Field
- Engineering
- Education Level
- PhD or equivalent
- Research Field
- Computer science
- Education Level
- PhD or equivalent
- Research Field
- Mathematics
- Education Level
- PhD or equivalent
- Languages
- FRENCH
- Level
- Basic
- Research Field
- Engineering
- Years of Research Experience
- None
- Research Field
- Computer science
- Years of Research Experience
- None
- Research Field
- Mathematics
- Years of Research Experience
- None
Additional Information
Eligibility criteria
Job Profile: PhD ( (Thesis defended after April 2021) ) in Computer Scienceor Image and Signal Processing
Required Skills:
Proficient in programming, web development, and network infrastructure
Strong expertise in Artificial Intelligence with experience in deep learning
Mastery of Python and deep learning platforms such as TensorFlow/PyTorch
Knowledge in biology and medical imaging methods: MRI, SRM, PET would be advantageous
Proficiency in English: high level
- Website for additional job details
https://emploi.cnrs.fr/Offres/CDD/UMR7252-OLFBEN-005/Default.aspx
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- XLIM
- Country
- France
- City
- CHASSENEUIL DU POITOU
- Geofield
Where to apply
- Website
https://emploi.cnrs.fr/Candidat/Offre/UMR7252-OLFBEN-005/Candidater.aspx
Contact
- City
CHASSENEUIL DU POITOU- Website
http://www.xlim.fr
STATUS: EXPIRED