PhD Position in Statistical Methods for Meta-Model Integration in Pharmacology

il y a 4 semaines


Paris, Île-de-France INRIA Temps plein

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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