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Postdoctoral Research Fellow in Computational Biology: Developing Multiomics Pipelines in R and AI/Machine Learning

2 months ago


Adelaide, South Australia University of Adelaide Full time
About the Role

We are seeking a highly skilled Postdoctoral Research Fellow to join our team at the University of Adelaide. As a key member of our research group, you will play a critical role in developing and enhancing multiomics pipelines in R and AI/Machine Learning methods.

Key Responsibilities
  • Develop and enhance the Tidyomics ecosystem, a comprehensive R software ecosystem for high-dimensional omics data analysis.
  • Improve the documentation, robustness, and interoperability of Tidyomics, and extend it to spatial profiling technologies.
  • Analyse large-scale single-cell and spatial data in the context of cancer immunology, using high-performance and cloud computing.
Requirements
  • PhD in Computational Biology, Bioinformatics, Computer Science, or a closely related field with a strong focus on machine learning and deep learning applications.
  • Proficiency in R, with the ability to handle complex data analysis tasks.
  • A record of research, evidenced by publications in peer-reviewed journals or presentations at significant conferences, particularly in areas related to AI, language modelling, computational biology, bioinformatics, or immunogenomics.
Desirable Qualifications
  • Demonstrable experience in analysing large-scale single-cell genomic data.
  • Extensive experience in handling, processing, and interpreting large-scale biological datasets, including single-cell RNA-Seq data.
  • Knowledge of Python and bash.
  • Familiarity with immunogenomics, including the understanding of immune cell types, pathways, and mechanisms, especially in the context of cancer.
About the University of Adelaide

The University of Adelaide is a world-renowned institution with a strong commitment to research and innovation. Our research group is dedicated to advancing the field of computational biology and developing cutting-edge solutions for real-world problems.

We offer a dynamic and supportive work environment, with opportunities for professional development and collaboration with leading researchers in the field.

Our team is passionate about making a positive impact through our research, and we are seeking a talented individual to join us on this exciting journey.