351 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at The University of Queensland
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meaningful, applied outcomes for Australian grain production. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, develop an emerging research profile
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Faculty of Engineering, Architecture and Information Technology Full-time (100%), permanent position Base salary will be in the range $115,645.22 - $129,654.48 + 17% Superannuation (HEW Level 8
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fortnight Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family
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-AD). We are seeking a motivated Senior Laboratory Technician to support groundbreaking efforts in designing and testing novel computationally engineered proteins aimed at key targets in
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processes, enhance system utilisation, and deliver strategic technology solutions. Overseeing vendor relationships, operational budgets and IT projects to ensure quality outcomes and value for investment
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flow in porous media, including gas desorption, flow, re-adsorption, and geomechanical simulations for industry applications. Collaborate with the Computational Multiphysics Laboratory (CML) and leverage
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and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family Career
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, ensuring timely and accurate communication and the effective conduct of risk engineering surveys and other insurance-related processes to improve UQ’s property risk profile. Identify and implement process
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also supporting the teaching of Undergraduate Veterinary Science and Veterinary Technology students in a clinical environment. About You Cert IV in Veterinary Nursing and/or Bachelor of Applied Science
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advanced computational and genomic approaches. The successful candidate will work as part of a funded research project that integrates metagenomics, k-mer–based methods, and artificial intelligence