Publisher
source

Dr R Weatheritt

1 year ago

Unraveling ALS Mechanisms: Integrating Single-Cell Long-Read Sequencing and CRISPR Technologies 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
Biology
Computational Biology
Rna Biology
Big Data
Crispr Technology
Long-read Sequencing
Bioinformatics
Genetics
Genomics
Biological Sciences

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 ProjectWe 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 ExpertiseWith 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 analysisAdvanced computational pipelines for splicing pattern detectionCRISPR-based genomic editing to model disease mechanismsMachine learning algorithms for integrating multi-omic datasetsWhat You'll DoDevelop and apply novel computational methods to analyze single-cell long-read sequencing dataDesign and implement CRISPR screens to investigate ALS-related genesIntegrate diverse datasets to build comprehensive models of ALS progressionCollaborate with wet-lab scientists to validate computational findingsPresent your research at international conferences and publish in top-tier journalsWhat We're Looking ForMSc 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 toolsKnowledge of machine learning techniques is a plusExcellent communication skills and ability to work in an interdisciplinary teamWhy Join Us?Work with world-class researchers, clinicians and state-of-the-art technologiesAccess to extensive computational resources and cutting-edge sequencing platformsOpportunities for professional development and networking in the field of neurogenomicsSupportive and collaborative research environmentJoin 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 [email protected].

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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