Thèse

Bourse de thèse

environmental molecular microbiology - Taxonomic and functional traits of the fish microbiome in marine protected areas

Preserving marine ecosystem services is a key priority worldwide as they support the livelihood and well-being of
millions of its citizens. For that purpose, Marine Protected Areas (MPAs) have been implemented all over the world
and their positive effect on species diversity has been extensively documented. However, their impact on
functional traits remains poorly characterized. The goal of the European project METRODIVER is to assess the
effect of MPAs on trophic diversity and food web functioning, as well as ecosystem services (productivity), fish

Machine learning to integrate genome, transcriptome and patient outcome in neurological disease

Project outline:

Work to decode the genetics of a devastating neurological disease. You will focus on the analysis of non-coding DNA variants and the implementation of novel machine learning algorithms to predict biological impact based on patient DNA sequence and multi-omic profiling of human postmortem tissue and stem cell models.

Apprentissage profond pour la caractérisation des érythèmes migrants, signes cliniques précoces associés à la maladie de Lyme

L’objectif de cette thèse est de développer un réseau de neurones convolutifs, permettant la caractérisation des érythèmes migrants, signes cliniques précoces associés à la maladie de Lyme, à partir d’un nombre limité de photographie de taches cutanées (quelques centaines).

Prise en compte de l’information génomique pour la sélection de caprins allaitants en milieu tropical

Les strongyloses gastro-intestinales (SGI) représentent une contrainte pathologique majeure des petits ruminants dans les systèmes pâturés, particulièrement en zone tropicale humide. Depuis quelques années, la stratégie d'éradication des parasites a évolué vers une logique de manipulation des équilibres hôtes-parasites. La résistance génétique aux strongles gastro-intestinaux s'inscrit dans cette nouvelle démarche et y tient un rôle incontournable en complémentarité avec les stratégies à moins long terme.

Computational Biology and Gene Regulation

We seek an individual highly motivated by the development of computational models and tools dedicated to the analysis of biological data. We are looking for applicants excited about combining life sciences and computation to analyse gene expression regulation. The ideal candidate will be collaborative, independent, with strong enthusiasm for research, and should have experience in statistical / machine learning modelling and computer programming (mainly Python, R, and bash) dedicated to the analysis of large-scale genomics data.

Scaling the solving of Ordinary Differential Equation for Computational Biology (and Deep Learning)

In biology, the vast majority of systems can be modeled as ordinary differential equations (ODEs). Modeling more finely biological objects leads to increase the number of equations. Simulating ever larger systems also leads to increasing the number of equations. Therefore, we observe a large increase in the size of the ODE systems to be solved. A major lock is the limitation of ODE numerical resolution software (ODE solver) to a few thousand equations due to prohibitive calculation time.

Développement de nouvelles approches de biologie systémique pour l’évaluation de la toxicité de matières premières cosmétiques

Thèse CIFRE : développement de nouvelles approches de biologie systémique pour l’évaluation de la toxicité de matières premières cosmétiques

ENVIRONNEMENT

L’équipe de recherche MeX (Métabolisme et Xénobiotiques) de l’unité TOXALIM du centre de recherche de l’INRA Occitanie-Toulouse et l’équipe de Biologie Digitale de la Recherche Avancée L’Oréal localisée à Aulnay-Sous-Bois recherchent un(e) candidat(e) pour une thèse CIFRE dans le cadre d’un projet de modélisation métabolique pour l’évaluation de la toxicité de matières premières cosmétiques.

Bioinformatics Research assistant (PhD student) position 2

Within the interdisciplinary research project MOSLA (MOlecular Storage for Long-time Archives), the Faculty of Mathematics and Computer Science - Bioinformatics Group, Prof. Dr. Dominik Heider, offers one position as Research Assistant (PhD student).

The position is offered for a period of 3 years, if no former times of qualification must be considered. The starting date is January 1st 2020. The positions are part-time (65 % of regular working hours) with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13, 65 %).

Bioinformatics Research assistant (PhD student) position 1

Within the interdisciplinary research project MOSLA (MOlecular Storage for Long-time Archives), the Faculty of Mathematics and Computer Science - Bioinformatics Group, Prof. Dr. Dominik Heider, offers one position as Research Assistant (PhD student).

The position is offered for a period of 3 years, if no former times of qualification must be considered. The starting date is January 1st 2020. The positions are part-time (65 % of regular working hours) with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13, 65 %).