Development of kernel approaches for the integration of biological data from heterogeneous sources

 CDD · Thèse  · 36 mois    Bac+5 / Master   Université Paul Sabatier Toulouse III (UT3) · Toulouse Cedex (France)

 Date de prise de poste : 1 octobre 2021


Biostatisics, data analysis, multi-omics data integration


ESR6 PhD Position - Marie Sklodowska-Curie Actions (MSCA-ITN) "E-MUSE" Complex microbial Ecosystems MUltiScale modElling


Statistical developments for multi-omics data integration through kernel methods and identification of relevant features involved in the cheese ripening processes (


Master’s degree or engineering degree in statistics, bio-statistics, applied mathematics or bioinformatics.

  • experienced user of the statistical software R, and at least basic kowledge in one other programming language (python, …)
  • knowledge of the linux environment
  • experiences with real, multivariate data analysis, biological data would be better, `omics’ data even more
  • interest in biology, biological processes and complexity of living

Specific Requirements

  • You should NOT have any kind of PhD degree. Previous research experience (which must be no longer than 4 years) although appreciated, is not mandatory.
  • Educational background and previous research experience relevant for the chosen position.
  • Applicants must demonstrate fluent reading, writing and speaking abilities in English. English: B2, good oral and written communication skills in English are compulsory.
  • Networking and communication skills in a multicultural and multidisciplinary environment
  • Willingness to travel abroad for the purpose of research, training and dissemination


Procédure : Apply on E-MUSE website:

Date limite : 30 juin 2021

Offre publiée le 3 juin 2021, affichage jusqu'au 30 juin 2021