57 high-performance-computing-postdoc Fellowship positions at The University of Queensland
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opportunity for a Research Fellow (Level B) or Senior Research Fellow (Level C) to join the First Nations Cancer and Wellbeing Research (FNCWR) Program, led by Professor Gail Garvey within the School of Public
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Food and Beverage Accelerator Program : Based at the School of Agriculture and Food Sustainability Full-time (100%), fixed-term position for up to 1.5 years Base salary will be in the range
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at an Academic Level A or B, integrated into the Dow Centre’s decarbonisation program, and will focus on advancing innovative strategies across diverse sectors. Key responsibilities will include: Research: Drive
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environmental health, public health, or a related area, with experience in the research context. Strong analytical skills to develop a new program for gathering evidence of the emergence of new alternative
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biology with an extensive background in genomics Extensive skills in bioinformatics analysis including tools for displaying genomic features in web applications and experience in high performance computing
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opportunity to develop a three-year research program at the intersection of First Nations language and ecology. Applicants are encouraged to propose projects aligned with their expertise, such as linguistic
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studies, or participant recruitment and management. Experience in designing and implementing high-quality data collection protocols, ensuring data integrity through cleaning and performing robust analyses
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transition metal coordination chemistry and electrochemistry, working within a collaborative and high-performing research environment that supports professional growth and research impact. Key responsibilities
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researchers, academics and industry stakeholders. Key responsibilities for each position will include: Research: Contribute to an established a research program, collaborate on research projects, seek and
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deliver insights that inform real‑world policy and practice. Key responsibilities will include: Design and deliver high-quality quantitative research using large longitudinal, census, survey and