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discovery. This position in particular focuses on sequence-to-function deep genomics modeling, with the goal of developing performant models that make generalizable out-of-distribution predictions
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aligns with the University’s mission to advance scientific discovery in cancer genetics and improve patient outcomes through genomic medicine. Key Responsibilities: Develop and implement computational
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to Neuroimmunology and Multiple Sclerosis. Our department provides translational science expertise to inform the clinical development of novel personalized therapeutics, and our biomarker teams investigate
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conduct laboratory-based research focusing on multiple myeloma and its precursor conditions. Based on the mission of the lab, the successful candidate will be responsible for identifying novel biomarkers
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Expertise in metagenomic analysis required scope (e.g. national codes and standards) Strong written and oral communication skills Proficiency in bioinformatics for amplicon and metagenomic sequencing Ability
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relapse in order to design novel inhibitors to intervene the malignancies 3) collaborative analyses of myeloid cancers genomics using high-throughput single-cell sequencing chor high throughput proteomics 4
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potential of high-speed rail (HSR) in shaping Australia’s urban future. As a Level A Research Fellow, you will undertake high-quality, independent research aligned with the project’s objectives, with a focus
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experimental cancer biologists to address major scientific problems. The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing
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, we use cutting edge genomic techniques such as duplex sequencing, long-read sequencing, and single-cell DNA and RNA sequencing. We are also actively developing new experimental and computational
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that conjugating siRNAs to peptides that bind receptor X will enable targeted delivery of disease-modifying agents directly to affected joint cells. This project will: 1. Identify optimal siRNA sequences