PhD Position F/M -- Campagne Doctorant -- Explainable Deep Learning
- France
- CDI
- Temps-plein
The recruited person will be in connection with Lev Stimmer concerning the Spatial Transcriptomics technology in ICM.Responsibilities :
The person recruited is responsible for the creation of the new Computational Pathomics modality and will take initiatives for the XAI deep learning approaches to be used to explore the associations, correlations and the causalities between morhology and the spatial transcriptomics signature. She/he will be in charge of a robust learnng process to be designed, validated and tested on a consequent dataset. Seed information shall be identified and a bias-free process shall be set-up.Steering/Management :
The person recruited will be in charge of the deployment of the proposed technology on the Cytomine @ ICM platform.Principales activitésMain activities :
- Identify and verify omics and visual vocabulary solutions for spatial transcriptomics and computational pathology.
- Propose XAI solutions for association / correlation / causality relationship exploration / discovery between computational pathology (morphology) and spatial transcriptomics.
- Test, change up until validation the XAI solutions
- Design experimental platform of virtual spatial transcriptomics
- Develop programs/applications/interfaces of compuational pathomics on Cytomine @ ICM
- Structure and write publications to disseminate the novel results and methods
- Distribute the vistual spatial transcriptomics to the ICM and national / european scientific community via the Cytomine @ ICM platform.
- Proficient hands-on experience in deep learning and Python programming, including expertise with frameworks such as PyTorch.
- Advanced knowledge in Machine Learning and Pattern Recognition.
- Expertise in BioMedical Image Analysis.
- Strong foundation in applied mathematics and computer science.
- Familiarity with biomedical imaging techniques.Language Proficiency:
- English: Expert level proficiency in both oral and written communication.
- French: Good proficiency level suitable for both oral and written communication.Relational Skills:
- Strong oral communication skills for scientific discourse.
- Demonstrated ability in written communication through publications.Other Valued Attributes:
- Proven ability to explore and devise solutions to complex problems.
- Collaborative mindset with a strong inclination towards teamwork.
- Positive and constructive attitude towards challenges and collaborations.
- Curiosity and eagerness to delve into medical applications.
- Willingness to learn more about neurodegenerative diseases.Avantages
- 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 (sick children, moving home, etc.)
- Possibility of teleworking
- Flexible organization of working hours (after 6 months of employment)
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage
EURAXESS