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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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. Ability to teach and lead programs in areas related to sport analytics, sport data capture, performance analysis, data science, applied statistics. Proficiency in R and/or Python. Demonstrated effectiveness
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. Practical experience in scripting languages, for example R, python or bash Proven work experience in bioinformatics, statistics and/or data science relevant to proteomics and protein analysis, including using
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role. Ability to teach and lead programs in areas related to sport analytics, sport data capture, performance analysis, data science, applied statistics. Proficiency in R and/or Python. Demonstrated
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, as well as using your initiative to manage multiple projects and prioritise workloads. As the successful candidate, you will also demonstrate: Completion of minimum 4 years of tertiary study and
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research outputs. The candidate will need to demonstrate agility in managing and leading multiple projects and work independently in this ever-changing and fast-paced sector. The position is funded by CAR, a
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, Prof Anton van den Hengel and his research team to publish research outputs. The candidate will need to demonstrate agility in managing and leading multiple projects and work independently in this ever
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Canberra has multiple locations in the Nation’s Capital. UNSW Canberra distinguishes itself from other institutions by its commitment to being thoughtful, practical, and purposeful in all endeavours
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capable of working independently and in a team, as well as using your initiative to manage multiple projects and prioritise workloads. As the successful candidate, you will also demonstrate: Completion
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an advanced AI-augmented digital platform (AiCT-Med) powered by cutting edge machine learning models trained on multiple large, aged care datasets from providers across Australia. The platform is designed