Publisher
source

Dr R Weatheritt

1 year ago

Using single-cell nanopore long-read sequencing to identify drivers of neurodegenerative disorders Garvan Institute of Medical Research in Australia

Degree Level

PhD

Field of study

Neuroscience

Funding

Fully Funded

Deadline

Expired

Country flag

Country

Australia

University

Garvan Institute of Medical Research

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Where to contact

Official Email

Keywords

Neuroscience
Machine Learning
Molecular Biology
Neurology
Medicine
Biotechnology
Biology
Computational Biology
Rna Biology
Genome Editing
Computational Linguistics
Crispr Technology
Nanopore Sequencing
Neuroinformatics
Ngs
Genetic
Rna Splicing
Genome Engineering
Long-read Sequencing
Genomic
Bioinformatic
Neurological Disorder

About this position

Are you passionate about using cutting-edge computational approaches to tackle complex neurological disorders? Join our dynamic research team at Garvan Institute of Medical Research in Sydney as we embark on an exciting journey to understand Amyotrophic Lateral Sclerosis (ALS) at unprecedented resolution.

About the Project

We are seeking a motivated PhD candidate to contribute to our groundbreaking research combining single-cell long-read sequencing and CRISPR technologies to investigate the molecular mechanisms underlying ALS. This project offers a unique opportunity to be at the forefront of neurodegenerative disease research, leveraging advanced genomic techniques and computational biology.

Our Lab's Expertise

With over 15 years of experience in RNA biology and splicing mechanisms, our lab has established itself as a leader in applying bioinformatics approaches to complex biological questions. Our recent publications in high-impact journals showcase our innovative use of:

  • Long-read sequencing for full-length transcript analysis
  • Advanced computational pipelines for splicing pattern detection
  • CRISPR-based genomic editing to model disease mechanisms
  • Machine learning algorithms for integrating multi-omic datasets

What You'll Do

  • Develop and apply novel computational methods to analyze single-cell long-read sequencing data
  • Design and implement CRISPR screens to investigate ALS-related genes
  • Integrate diverse datasets to build comprehensive models of ALS progression
  • Collaborate with wet-lab scientists to validate computational findings
  • Present your research at international conferences and publish in top-tier journals

What We're Looking For

  • MSc in Bioinformatics, Computational Biology, or related field (especially welcome biologists with computational expertise!)
  • Strong programming skills (Python, R, or similar)
  • Experience with NGS data analysis and genomics tools
  • Knowledge of machine learning techniques is a plus
  • Excellent communication skills and ability to work in an interdisciplinary team

Why Join Us?

  • Work with world-class researchers, clinicians and state-of-the-art technologies
  • Access to extensive computational resources and cutting-edge sequencing platforms
  • Opportunities for professional development and networking in the field of neurogenomics
  • Supportive and collaborative research environment

Join us in our mission to decode the complexities of ALS and pave the way for new therapeutic strategies. Apply now and be part of the next big breakthrough in neurodegenerative disease research!

To apply, please send your CV, a brief statement of research interests, and contact information for two references to .

Funding details

Fully Funded

How to apply

Send CV, statement of research interests, and contact information for references to [email protected]

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