PhD Position in Statistical Methods for Meta-Model Integration in Pharmacology
il y a 4 semaines
Context and Opportunities
The PhD researcher will be part of the PEPR DIGPHAT project, working with all partners to develop a comprehensive digital pharmacology twin. This project is funded by the Governmental Acceleration Funding - PEPR Santé Numérique.
Research Objectives
The main goal is to propose a general pathway towards pharmacological digital twins by integrating several multiscale and longitudinal meta-models. This will enable the a priori investigation of treatment strategies and the dynamic assessment of the probability of success based on a patient's longitudinal features.
Main Activities
The PhD researcher will develop models for:
- checking the coherence of meta-models at the same level
- chaining meta-models across different scales
- estimating new patient trajectories
Additional activities will include writing articles, presenting at conferences, and participating in social and cultural events.
Requirements
- Specialization in Biostatistics, Statistics, or Mathematics
- R or Python coding skills
- Good English level appreciated
Benefits
- 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
- Possibility of teleworking
- Flexible organization of working hours (after 12 months of employment)
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Access to vocational training
- Social security coverage
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