Post-Doctoral Research Visit F/M Personalized patient follow-up
il y a 1 mois
Contexte et atouts du poste
The recruitee will join the
Mission confiée
The recruitee will work in close relation with both teams, Scool and the Inserm team.
With Scool, the goal is to explore how the problem at hand can be modeled, most likely as a contextual bandit problem, propose algorithms, study their theoretical properties.
With the Inserm team, the goal is to investigate the application of this work to the real practical case.
These two lines of work are intrinsically strongly tied to each others.
Principales activités
The main activities are those of a post-doc:
finding and studying the related litterature proposing ideas to address the problem at hand investigating these ideas on both fronts: theoretically, and from the application point of view. present the work to the members of the project and work with them to go further write papers to be submitted to top conference in ML/AI, and in top journals in medicine present the work in international scientific events animate the collaboration
Compétences
A strong background in machine learning, in particular in bandit theory, is especially required.
Skills in pratical aspects of statistics/data science are necessary, the more elaborate the better.
Scientific communication skills (speaking, writing).
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 and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage-
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