PhD Position in Signal Processing for Vulnerable Carotid Plaques Identification
il y a 7 jours
PhD Position in Signal Processing for Vulnerable Carotid Plaques Identification
Inria Saclay-Île-de-France Research Centre is seeking a PhD student to work on a research project focused on signal processing for vulnerable carotid plaques identification using CT scans. The project aims to develop a quantum-based signal processing method to filter noisy data and increase image contrast.
Key Responsibilities:
- Develop and implement a quantum-based signal processing method for biomedical imaging
- Analyze and compare the proposed method with state-of-the-art methods such as Wavelets and empirical model decomposition methods
- Investigate the use of the 2D-SCSA for the characterization of CT scans
- Collaborate with the research team to develop and optimize the method
Requirements:
- Master's degree in Signal Processing, Biomedical Engineering, or a related field
- Strong background in signal processing and machine learning
- Experience with programming languages such as Python or MATLAB
- Good communication and teamwork skills
What We Offer:
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available
- Access to vocational training
- Social security coverage
Gross Salary: 2,100 euros/mois
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Gif-sur-Yvette, Île-de-France INRIA Temps pleinJob DescriptionPhD Position in Signal Processing for Vulnerable Carotid Plaques IdentificationInria Saclay-Île-de-France Research Centre is seeking a PhD student to work on a research project focused on signal processing for vulnerable carotid plaques identification using CT scans. The project aims to develop a quantum-based signal processing method to...
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