393 parallel-processing-bioinformatics positions at The University of Queensland in Australia
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profiling, analyse population-scale epigenomic and multi-omic datasets, and develop new bioinformatic pipelines that push scientific boundaries. You’ll uncover patterns of methylation variation, inheritance
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aseptic technique, laboratory animal handling and procedures. Skills in bioinformatics would be an advantage. Sound knowledge of OH&S guidelines and laboratory safety. Ability to quickly acquire new
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compounds that target bacterial cell wall biosynthesis. As a Postdoctoral Research Fellow, you’ll collaborate with leading experts in natural products chemistry, microbial genomics, and bioinformatics. Your
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(CRISPR screens, Chromatin IP, ATAC-seq) and cellular biology (cell death mechanisms, immunology), and experience with animal models and organoid cultures. Position 3 will focus on Bioinformatics
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chemistry, medicinal chemistry, statistical genetics, bioinformatics, data science, machine learning/artificial intelligence methodologies, and bacteriology, but will consider applications relevant to all our
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, including CAPEX/OPEX breakdowns and MPSP/IRR calculations Analyse feedstock options (sugar, whey, bagasse, gas, cell-based vs cell-free processes) across production scales; normalise costs and prepare clear
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, students, clients and outside suppliers. Understand the value of excellent client service. Care and compassion for animals. Desirable A current HR licence Basic computer skills. Previous experience with
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updates, and event coordination. Key Responsibilities Core Student Administration Provide timely and accurate advice to students and staff within relevant policies and procedures. Process applications and
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to strategic planning, policy interpretation, and process improvements that enhance the University’s overall research funding capability. If you thrive in a fast-paced, collaborative environment, enjoy problem
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extracted, for a variety of remote sensing data types (multispectral, hyperspectral, and LiDAR data). Automate data ingestion, processing, and delivery workflows, that include data versioning and quality