336 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at The University of Queensland
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well as supervision and training of emerging scientists. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in
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, and practices to end users, including the commercialisation of UQ intellectual property. Additional for Level B: Develop independence in your research program to achieve national recognition and impact
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Assistance Program for staff and their immediate family UQ Study for Staff On campus childcare options Affordable parking (from just $6.15 a day) Salary packaging options About You You will be a motivated and
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School of Electrical Engineering and Computer Science / ARC Training Centre for Information Resilience (CIRES) Full-time (100%), fixed-term position through to September 2027 Base salary will be in
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of building services Basic computer skills. Be available to take part in an after-hours on call roster. Strong understanding of WHS and environmental legislation, codes and standards. Problem-solving skills
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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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are produced in alignment with the University’s brand and strategic objectives, ensuring consistency, professionalism, and impact across multiple platforms. Key Responsibilities Plan, coordinate, and deliver key
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have proven capability to lead faculty-wide initiatives, plan and deliver continuous improvement across programs and courses, and manage a broad range of academic and administrative processes. Highly
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-research partners, access world-class computing resources, and develop cutting-edge solutions in remote sensing and spatial data. Reporting to the Drone CRP Director, you’ll work closely with the Data
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and direction of Professor Kiarash Khosrotehrani, the successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics