Signal Processing Expert for Vulnerable Carotid Plaque Detection
il y a 1 semaine
Job Description:
We are seeking a highly skilled Signal Processing Expert to join our team at INRIA Saclay-Île-de-France Research Centre. The successful candidate will work on the mathematical analysis and application of semi-classical signal analysis (SCSA) to identify vulnerable carotid plaques using CT scans.
Key Responsibilities:
The ideal candidate will be responsible for studying the mathematical properties of SCSA, comparing it to state-of-the-art methods, and analyzing its numerical properties. Additionally, they will investigate the use of 2D-SCSA for CT scan characterization to identify vulnerable carotid plaques in asymptomatic patients.
Requirements:
- Strong background in signal/image processing with experience in biomedical applications
- Proficiency in machine learning and deep learning techniques
- Familiarity with quantum-based signal processing methods
Benefits:
- Gross salary: €25,500 per year
- Subsidized meals and partial reimbursement of public transport costs
- 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours)
- Possibility of teleworking and flexible organization of working hours
- Access to vocational training and social security coverage
About Us:
INRIA Saclay-Île-de-France Research Centre is a leading research institution that has developed strong partnerships with Paris-Saclay University and the Institut Polytechnique de Paris. We offer a dynamic and inclusive work environment with opportunities for professional growth and development.
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