For any application, please write to jobs-gagneurlab@in.tum.de including your CV, transcripts if you're studying, and a brief motivation.

Postdoc positions

  • Machine Learning for Genomics
    The position is funded via the recently awarded research network MechML, which aims at establishing interpretable machine learning models for mechanistic and functional prediction in genomics and medicine. You will develop computational methods and models expanding Kipoi (https://kipoi.org). Topics include expressive and effective mathematical representations of RNA or protein encoded regulatory sequences; integrative models of individual steps of gene expression; methodologies for interpretability of deep learning models with application to the prediction of causal effects of genetic variants in rare or common diseases.

  • Computational biology for Genetic Disorders
    You will develop computational methods and analyse multi-omics datasets to unravel the genetic and molecular basis of genetic disorders. Topics include: Detection of aberrant molecular events in multi-omics dataset; development of genetic variant and gene prioritization algorithms by integrating multi-omics data together with deep learning models of regulatory variants, leveraging Kipoi; Integration of multi-omics with wearable sensor data 

 

PhD theses

Graduate School of Quantitative Biosciences Munich (QBM)

We are proud members of QBM, a graduate school funded by the German excellence initiative to promote quantitative biosciences. Students selected by QBM will get their own stipend, extra training from the graduate school, and conduct interdisciplinary research under the direction of two labs with complementary expertise. Check the QBM web site for application schedule and specific projects. 

Other open PhD positions 

Topics voluntarily overlap with the postdoc offers. You chose the research that excites you most. 

  • Machine Learning for Genomics
    You will develop computational methods and models expanding Kipoi (https://kipoi.org). Topics include expressive and effective mathematical representations of RNA or protein encoded regulatory sequences; integrative models of individual steps of gene expression; methodologies for interpretability of deep learning models with application to the prediction of causal effects of genetic variants in rare or common diseases.

  • Computational biology for Genetic Disorders
    You will develop computational methods and analyse multi-omics datasets to unravel the genetic and molecular basis of genetic disorders. Topics include: Detection of aberrant molecular events in multi-omics dataset; development of genetic variant and gene prioritization algorithms by integrating multi-omics data together with deep learning models of regulatory variants, leveraging Kipoi; Integration of multi-omics with wearable sensor data

HiWi, Bachelor, and Master theses

We are constantly seeking for highly motivated students in bioinformatics, physics and/or applied mathematics for Master thesis. Quantitative minds with a strong interest for biology, or biologists with computational skills and eager to understand biology at the genome level will fit our team. 

Open Master projects:

Further master or bachelor theses can be defined according to the skills and interests of the applicants. Also we offer HiWi jobs on these topics. A great way to already contribute to the field, get to know each other, and start advancing on your future theses. Do not hesitate to contact us! 

Further bioinformatics projects in Munich

Check the bioinformatik-muenchen web site.