Postdoctoral Researcher in Multimodal Machine Learning for PET Reconstruction
il y a 3 semaines
Join our team at France Life Imaging as a Postdoctoral Researcher in Multimodal Machine Learning for PET Reconstruction.
We are seeking a highly motivated and experienced researcher to contribute to the development of new machine learning reconstruction techniques for PET/CT and PET/MRI multimodal imaging systems.
The successful candidate will work closely with our team to design, implement, and evaluate novel optimization algorithms for multimodal machine learning image reconstruction.
Key responsibilities include:
- Developing and integrating new optimization algorithms in the open-source CASToR reconstruction platform
- Applying and evaluating these techniques to PET/CT and PET/MRI data acquired by our project partners
We offer a dynamic and collaborative research environment, with opportunities for professional growth and development.
Requirements:
- PhD in a relevant field (e.g., computer science, engineering, physics)
- Strong background in machine learning and deep learning
- Experience with optimization algorithms and image reconstruction techniques
- Excellent programming skills in languages such as Python or C++
Interested candidates should submit their CV, a cover letter, and their PhD grade.
We look forward to hearing from you
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