Job:PhD Positions in Computational Research, Data Science and Artificial Intelligence at the German Cancer Research Center (DKFZ)
0
1
Entering edit mode
@franziskaschmidt-18469
Last seen 23 months ago
Germany

Are you interested in solving fascinating biological or medical questions computationally? At the German Cancer Research Center (DKFZ) in Heidelberg, Germany’s largest biomedical research institute, computational scientists work at the forefront of artificial intelligence and cancer research. They combine interdisciplinary approaches from computer science, medical informatics, physics, biology, bioinformatics and statistics to analyze and understand complex biological and medical data.

Main activities at the DKFZ involving big data include:

  • Development and application of machine learning and computational methods for multi-modal data integration, including integrative analysis of genomic, epigenomic, transcriptomic, proteomic, metabolomics and radiomic imaging data
  • Development of methods for modeling and simulation of biological and medical processes
  • Medical Informatics
  • DNA mutation analysis and machine learning to decipher cancer genome variation
  • Application and development of state-of-the-art technologies for single-cell omics and life cell imaging
  • Computer-assisted radiology and surgery
  • Biostatistical evaluation of experimental and clinical data

More information about our research can be found at https://www.dkfz.de/en/datascience/index.html?campaign=phd/bioconductor

If you are interested in doing your PhD in the field of computational research and data science, why not join the International PhD Program at the DKFZ? Full funding is provided for the duration of the PhD.

Application deadline is 15 May 2022

Find more information about the program at https://www.dkfz.de/en/phd-program/index.html?campaign=phd/bioconductor

phd cancer genomics proteomics bioinformatics • 886 views

Login before adding your answer.

Traffic: 753 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6