PhD Position: Bioinformatics and AI method development for Spatial Transcriptomics
KU Leuven
Leuven, Belgium
9 uur geleden
source : Euraxess

You will play a key role in the establishment of innovative analytical pipelines for spatial expression profiling technologies and applying these pipelines to various biological question domains.

Core accountabilities :

  • Develop and establish computational analysis methods for spatial expression assays leveraging state-of-the-art deep learning technologies.
  • Establishing production-proof complete analysis pipelines using containers and NextFlowDSL2, to be useable by other members of the Single-Cell Institute
  • Lead the experimental design, data analysis and interpretation of in situ profiling projects, and coordinate with core facilities and experimental biologists.
  • To be co-responsible for successful completion of the projects, and play a key role in the publication of the results of these team-collaborative projects.
  • Maintain internal code-bases and documentation.
  • Report and communicate on progress in meetings.
  • Train multidisciplinary team members in the usage of computational analysis methods.
  • Most challenging aspects of the role :

  • Establishing analytical workflows for cutting-edge technologies requires a high degree of innovative reasoning, in-depth knowledge of and creativity with computational and statistical methods.
  • Strong data interpretation and problem-solving skills are a must.
  • Given that the field is rapidly advancing, being motivated to learn and keep track of state-of-the-art analysis methods (statistical, machine learning) will be required.
  • High accuracy in work, close coordination and effective communication with other team members and teams will be critical to meet the goals of key biological projects.
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