PhD Position in Mechanistic Learning of Lung Cancer Natural History
il y a 7 jours
Project Overview
This PhD position is part of the LUCA-pi national RHU project, a 30M€ initiative consisting of Inria-Inserm COMPO, AP-HM, Gustave Roussy Institute, and Center for Immunology of Marseille.
The project aims to develop a mechanistic mathematical model of lung cancer national history and combine it with machine learning algorithms to predict localized, early-stage lung cancer or post-surgery metastatic relapse.
Key Responsibilities
- Review of the literature
- Benchmark of existing methods
- Development of novel mechanistic learning algorithms
- Interactions with biological and clinical partners
- Writing scientific publications
Additional Activities
- Continuous integration / continuous deployment of the code
- Data visualization
- Statistical reporting to partners
Requirements
- Excellent programming skills in R and/or Python
- Strong background in statistics and machine learning
- Hands-on experience with real-world data analysis
- Ideal experience in mixed-effects modeling
- Experience in computer vision is a plus
- Strong motivation for medical and societal applications of computational methods
- Knowledge of biology and/or medicine is a plus
- Ability to work independently and as a team, good relational skills
Benefits
- 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
- Social, cultural, and sports events and activities
- Access to vocational training
- Contribution to mutual insurance
Salary
Gross Salary per month: 2100€ brut per month (year 1 & 2) and 2190€ brut per month (year 3)
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