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massively parallel sequencing assays of DNA and RNA from patient tumor samples. Data from these environments are used to advance research on both adult and pediatric cancers, improve our understanding
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
of Computing. Computing Foundations: software systems, programming languages, compilers, operating systems, software testing, software engineering, computer architecture, computer security, logic and
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translational bioinformatics platforms to support the mission of precision medicine. Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for
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Ubiquitin signals in Parkinson’s disease Supervisor: Helen Walden Outline: Ubiquitin signalling controls almost every cellular process in humans, including targeting poorly folded proteins for destruction
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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evolution under therapeutic pressure. In parallel, we study immune cell populations that contribute to either the progression or control of cancer, using advanced single-cell and spatial technologies
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, biochemistry, pathology, pharmacology, toxicology, genetics, breeding, immunology, bacteriology, virology, parasitology, epizootology, comparative medicine, food safety, bioinformatics and One Health. Our
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cells, most notably immune cells. This project will investigate how cells coordinate these parallel nutrient scavenging approaches. The aim is to uncover the molecular mechanisms by which they talk
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biomaterials, including tuneable 2D and 3D culture systems, advanced microscopy, and polysome profiling, to study the impact of mechanical cues on ribosome function. In parallel, you will use bioinformatics
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of the major hubs for the national infrastructure SciLifeLab , which offers expertise and advanced technology platforms in the life sciences and bioinformatics. The department has its own computing cluster and