Master Trainee in computational mass spectrometry

Type de poste
Niveau d'étude minimal
Dates
Durée du poste
Contrat renouvelable
Contrat non renouvelable
Date de prise de fonction
Date de fin de validité de l'annonce
Localisation
Nom de la structure d'accueil
Adresse

EPFL Innovation Park, Building H
11
1015 Lausanne
Suisse

Contacts
Ali Bakiri
Laurence Liceaga
Email du/des contacts
ali.bakiri@rd.nestle.com
Laurence.Liceaga@nestle.com
Description

Identification of small molecules using mass spectrometry (MS) remains a major challenge, particularly from complex mixtures such as plant extracts. In this context, computational approaches are crucial for the handling of the massive MS data sets and acceleration of the identification process.
As a Master Trainee, you will use the state-of-the-art metabolites annotation to implement an automated workflow and integrate results from different methods to assess the identification accuracy.

Equipe adhérente personne morale SFBI
Equipe adhérente