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closely with researchers and developers, you will help identify challenges, propose solutions, and improve user interfaces based on feedback and testing. You can learn more about the Australian Internet
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to engage with multidisciplinary teams and external partners. Desirable attributes include experience with spatio-temporal models, machine learning, Bayesian methods, and knowledge of environmental exposure
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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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Change Makers. Together we create opportunities to share knowledge, skills, ideas and provide mentoring and peer coaching opportunities, that provide lifelong beneficial partnerships. To learn more about
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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 with the ability
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sound judgement and discretion. Excellent computer skills including proficiency in Microsoft Office and the ability to rapidly acquire skills in new applications. Experience using University systems
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experience in machine and/or deep learning applied to geospatial data. Demonstrated experience in the use of HPC and handling of very large datasets. Experience in software development and contribution
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in conducting human behavioural experiments or human-centered field studies. Demonstrated experience in using machine learning, such as deep learning for image processing, or natural
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engineering, and building machine learning models for tasks like classification and regression Key responsibilities will include: Research and Technical Support: Collaborate with researchers and HDR students
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chemistry, medicinal chemistry, statistical genetics, bioinformatics, data science, machine learning/artificial intelligence methodologies, and bacteriology, but will consider applications relevant to all our