PhD Position F/M [Numetab project] High-dimensional data analysis in the framework of survival modelling in presence of competing risks.
Inria · Villeneuve d'Ascq
Research instituteonsitephd$31k
At a glance
Highlights
- Develop new variable selection method for survival analysis with competing risks.
- Identify new omics markers to personalize obesity and metabolic treatment.
- Build decision-support software for high-dimensional clinical prediction.
Ideal candidate
Creative and independent MSc graduate in biostatistics passionate about precision health, eager to bridge statistical methodology and biology to improve patient care through teamwork.
Requirements
- MSc in Biostatistics
- Proficiency in R and at least one scripting language (e.g. Python)
- In-depth knowledge of statistical learning for high-dimensional data
- Basic knowledge of biology including molecular and cellular biology, genomics and genetics
- Creativity, independence, teamwork and communication skills
Lab profile
About Inria
French national research institute advancing digital sciences, computing, AI and applied mathematics.
What they build
- Digital sciences and computing research
- Artificial intelligence for microscopy and video analysis
- Quantum information theory
Known for
- Joint teams with Paris-Saclay University and Institut Polytechnique de Paris
- Embedded in Paris-Saclay science and technology cluster
- Rich R&D ecosystem with startups, industry and clusters
- International collaborations and multinational scientific staff
Key facts
- Founded in 1967
- Headquartered in France
- Nine research centres across France
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