318 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at The University of Queensland
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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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contribute to a legacy of innovation, sustainability and learning for generations to come. Some key responsibilities include, but are not limited to: Lead and manage end-to-end project and program delivery
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, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family UQ Study for Staff On campus childcare options Affordable
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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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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 development
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Support Collaborate with Centre committees and University departments to support the CEAStAR Training and Development Program, including organising bootcamps, workshops, training events, and symposia
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to align career development with industry needs and the MBA program. Industry Engagement and Recruitment: Build industry networks to connect UQ MBA students and graduates with employment opportunities, track
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will also focus on “whole-of-centre” relationships and impact while the Training Manager handles day-to-day PhD and wider training program delivery. Key responsibilities will include: Strategic
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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