PhD Position in Deep Learning for Clinical Decision Support in Brain Imaging: Trustworthy Validation and Benchmarking
il y a 3 jours
Context and Benefits of the Position
The ARAMIS lab, part of Inria, is dedicated to developing new machine learning and statistical approaches for analyzing large neuroimaging and clinical data sets.
This PhD position is funded by the Paris Artificial Intelligence Research Institute (PRAIRIE) and focuses on deep learning-based analysis of brain imaging data to assist clinical decisions in brain disorders.
Our team has been a pioneer in reproducible and trustworthy evaluation of machine learning for computer-aided diagnosis of Alzheimer's disease.
Main Activities
- Enrich the framework with advanced deep learning models, tasks, and datasets.
- Better account for brain imaging specificities, including multiple acquisitions, scanners, hospitals, and datasets.
- Propose an adequate inferential statistics framework for model validation and comparison.
- Perform benchmarking experiments across deep learning and standard machine learning models, tasks, diseases, and datasets.
- Demonstrate the importance of accounting for brain imaging specificities when evaluating models.
- Implement approaches in open-source software, particularly ClinicaDL.
Requirements
- Excellent background in machine learning.
- Excellent programming skills in Python.
- Strong interest in experimental aspects of machine learning.
- Good background in statistics.
- Knowledge of computer vision and medical image processing is a plus.
- Good writing and communication skills.
- Ability to collaborate efficiently with team members.
Advantages
- Subsidized meals.
- Partial reimbursement of public transport costs.
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT + possibility of exceptional leave.
- Possibility of teleworking and flexible organization of working hours.
- Professional equipment available.
- Access to vocational training.
- Social security coverage.
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Paris, Île-de-France INRIA Temps pleinContext and Advantages of the PositionYou will work within the ARAMIS lab, which is part of Inria, the French National Institute for Research in Computer Science and Applied Mathematics, dedicated to developing new machine learning and statistical approaches for analyzing large neuroimaging and clinical data sets.This PhD is funded as part of the Paris...
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Paris, Île-de-France INRIA Temps pleinJob DescriptionContext and AdvantagesWe are seeking a highly motivated PhD candidate to join our team at INRIA, working on deep learning-based analysis of brain imaging data for clinical decision support. This is a unique opportunity to contribute to a vibrant scientific, technological, clinical, and ethical environment.Research ObjectivesEnrich the...
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Paris, Île-de-France INRIA Temps pleinJob DescriptionContext and Key FeaturesINRIA is seeking a highly motivated PhD researcher to join our team in the development of new machine learning approaches for brain imaging analysis. The successful candidate will work in a vibrant scientific, technological, clinical, and ethical environment.Research ObjectivesEnrich the framework with advanced deep...
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Paris, Île-de-France INRIA Temps pleinJob DescriptionContext and Advantages of the PositionThe ARAMIS lab, part of Inria, is seeking a PhD candidate to work on developing new machine learning approaches for brain imaging analysis. This position is funded by the Paris Artificial Intelligence Research Institute (PRAIRIE).Research ObjectivesEnrich the framework with advanced deep learning models,...
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