Master Internship Predicting The Occurrence of - Nantes, France - Inria

Inria
Inria
Entreprise vérifiée
Nantes, France

il y a 3 semaines

Sophie Dupont

Posté par:

Sophie Dupont

beBee Recruiter
StageSHIP
Description
Le descriptif de l'offre ci-dessous est en Anglais_


Niveau de diplôme exigé :
Bac + 5 ou équivalent
Fonction :Stagiaire de la rechercheA propos du centre ou de la direction fonctionnelle


Le centre Inria de l'Université de Rennes est l'un des huit centres d'Inria et compte plus d'une trentaine d'équipes de recherche.

Le centre Inria est un acteur majeur et reconnu dans le domaine des sciences numériques.

Il est au cœur d'un riche écosystème de R&D et d'innovation :
PME fortement innovantes, grands groupes industriels, pôles de compétitivité, acteurs de la recherche et de l'enseignement supérieur, laboratoires d'excellence, institut de recherche technologique

Contexte et atouts du poste

Team and management

  • Hosted by Dynamo research team, UMR 1300 BIOEPAR (INRAE, Oniris), Nantes
  • The trainee will interact with researchers in other teams: LACODAM (IRISA, Rennes) and ImmunoCare (BIOEPAR, Nantes)
  • Period of internship: 5 to 6 months, beginning from January to April 2024 according to the training
schedule

  • Keywords: machine learning, sensor data, respiratory disease modelling, precision medicine, decision support systems
Mission confiée

Main steps


  • Literature review on learning methods used in precision breeding
  • Training on the use of mechanistic models in the EMULSION open source software with a focus on BRD models
  • Descriptive analysis of field data collected in 2023, identification of the most appropriate time granularity, comparison of sensor data with other information collected
  • Implementation of machine learning methods to predict the occurrence of BRD from collar data, and comparison of their effectiveness
  • Prediction of the number of animals affected in a batch in order to integrate with BRD models and a decision support tool
  • Effective integration of these methods into a workflow for gathering data, producing scenarios for the models, launching simulations and recommending the most appropriate control strategies on the farms taking part in the experiment in 2024 (in collaboration with a research engineer from the DYNAMO team).
Principales activités

  • Implementation of machine learning methods to predict the occurrence of BRD
  • Prediction of the number of animals affected in a batch in order to integrate with BRD models and a decision support tool
Compétences

  • Master 2 level in computer science/bioinformatics/data science or equivalent
  • Good knowledge of the main machine learning methods
  • Good knowledge of statistical methods (descriptive statistics, statistical models)
  • Writing skills, ability to read scientific articles in English
Rémunération

Selon les modalités de la convention
Plus d'emplois de Inria
Voir tous les emplois de Inria