Project (Tim Beißbarth)

At the department of Medical Bioinformatics of the University Medical Center Göttingen we have an opening for one PhD student position.

The research focus of our department is on methods to evaluate biomedical data and applications in Systems Medicine. We develop methods to statistically or bioinformatically analyze and understand especially high-dimensional data sets coming from biomedical research (e.g. genome sequencing, transcriptomics and proteomics) and to apply these methods in biomedical research.

Especially, genomics, transcriptomics, proteomics and other omics as well as the integrative analysis and meaningful interpretation of such different data types pose major challenges for method development, where the methods have to be tailored towards the specific applications. We therefore apply methods from the area of machine learning or artificial learning as well as statistical computing. Here, we are looking for PhD students to work on the analysis, integration and visualization approaches for molecular pathways in the context of high-throughput Omics data as well as on modeling of knowledge on biological networks and the extension of network-based approaches in the field of systems medicine.

• Chereda H., …., Beißbarth T.:
  Explaining decisions of Graph Convolutional Neural Networks: patient-specific molecular subnetworks resonsible for metastasis prediction in breast cancer.
  Genome Med. 2021 Mar 11; 13(1):42
  
  
• Perera-Bel J., …Beißbarth T.:
  From somatic variants towards precision oncolog: Evidence-driven reporting of treatment options in molecular tumor boards.
  Genome Med. 2018 Mar; 10(1):18
  
  
• Wolf A.,….., Beißbarth T.:
  Using RNA-Seq Data for the Detection of a Panel of Clinically Relevant Mutations
  Stud. Health Technol. Inform. 253:217-221