53 cloud-computing-"https:" "https:" "https:" "https:" "https:" research jobs at The University of Queensland
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research program. Supervision & Researcher Development: Support and supervise Honours and HDR students, provide effective coaching and feedback, and contribute to the development of research staff. Foster a
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coherent research program and emerging research profile, using best-practice methodologies. 2. Supervision and Researcher Development Supervise Honours and HDR students and support researcher development
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a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals, utilize best practice research methodologies, and participate in project
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Research Program (JRSRP), and DETSI teams including Queensland Herbarium and Biodiversity Science (QHBS) and Earth Observation and Social Science (EOSS). Your research will be embedded in day-to-day
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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 Career
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Preparation Program, offering leadership and research training, mentoring, professional development, writing retreats, seed funding for innovative research, and opportunities to participate in national and
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contributions + 17.5% annual leave loading Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for
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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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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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bioinformatics and computational biology, including the handling of large-scale genomic datasets. Expertise in the evaluation of novel predictive genomics methods, and experience with whole genome assembly