30 Jan 2024
Job Information
- Organisation/Company
French National Research Institute for Agriculture, Food, and the Environment (INRAE)- Department
MIAT- Research Field
Computer science- Researcher Profile
Recognised Researcher (R2)- Country
France- Application Deadline
5 Mar 2024 - 23:59 (UTC)- Type of Contract
Permanent- Job Status
Full-time- Hours Per Week
35- Offer Starting Date
1 Sep 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
The Mathématiques et Informatique appliquées de Toulouse (MIAT) research unit is part of the Mathematics, computer and data sciences, digital technologies (MathNum) division of INRAE. The research unit is composed of two research teams (SaAB and SCIDyn) and three platforms (GENOTOUL Bioinfo, RECORD, and SIGENAE). In this laboratory, you will join the Statistics and Algorithmics for Biology (SaAB) team made up of ten researchers and engineers, a multi-disciplinary team in computer science/bioinformatics/statistics whose scientific applications are oriented towards biology. The team has developed skills on the topic of deep neural networks, and more particularly on neural networks capable of using or predicting structured information (for example graphs). The team also holds the "Design using intuition and logic" (DIL) chair at the Artificial and Natural Intelligence Toulouse Institute (ANITI).
You will strengthen the team's synergy around the central theme of machine learning and complement the skills already present on the theme of deep learning, As a specialist in this field, you wil be capable of proposing original solutions/architectures for learning structured objects with neural approaches.
One of the main methodological obstacles concerns the development of original hybridizations between discrete optimization (for structure learning) and continuous optimization (on which neural networks are based). These questions are of great interest for various problems addressed by the team: inference of gene networks, protein design, phenotype prediction, and automatic annotation of genomes.
Requirements
- Research Field
- Computer science
- Education Level
- PhD or equivalent
Additional Information
- Website for additional job details
https://jobs.inrae.fr/en/open-competitions/open-competions-research-scientists-…
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- French National Research Institute for Agriculture, Food, and the Environment (INRAE)
- Country
- France
- City
- 31320 AUZEVILLE TOLOSANE
- Postal Code
- 31320
- Geofield
Where to apply
- Website
https://jobs.inrae.fr/en/open-competitions/open-competions-research-scientists-…
Contact
- City
31320 AUZEVILLE TOLOSANE- Website
https://jobs.inrae.fr/en/open-competitions/open-competions-research-scientists-crcn- Postal Code
31320
[email protected]
STATUS: EXPIRED