69 application-programming-android-"Multiple" research jobs at The University of Queensland
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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 parking (from
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(working as part of a team), and attention to detail. Experience in programming multiple languages (Python, MATLAB, Simulink, C++, VBA, etc) Some experience in developing machine learning models Demonstrated
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Sustainable Minerals Institute / Global Centre for Mineral Security Multiple full-time (100%), fixed-term positions for up to 2 years Base salary will be in the range $140,293.64 - $161,518.33 + 17
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using programming languages such as Python or R. Communication and Organisational Skills: Excellent problem-solving skills, with the ability to plan, prioritise, and manage multiple tasks efficiently
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School of Psychology Casual position with an hourly rate of $60.57 (HEW Level 6), plus superannuation of 12% Based at our vibrant St Lucia Campus About This Opportunity We are inviting applications
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We are inviting applications for two Casual Research Assistants to support a drug driving enforcement study in our School of Psychology. In these roles, you will provide key research support for a
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research documentation, including ethics and funding applications Assist with routine team administration Assist with preparing reports, graphs, figures and presentations on research outcomes at different
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research profile as a Research-focused Academic in the Queensland Alliance for Agriculture and Food Innovation at UQ. The Research Fellow will be responsible for leading a tissue culture program for
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-centered AI. Publish outputs in high quality outlets, such as AAAI, IJCAI, NeurIPs, CVPR, EMNLP, CHI, CSCW, FAccT, or similar. Establish a research program in the area of human-centered decision support
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modeller to help lead a collaborative research programme between the University of Queensland and King Abdulla University of Science and Technology (KAUST) with Prof David Suggett. Our shared goal is to