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experience. Proficient with database, data pipeline, and workflow management tools such as Snowflake, JIRA, Wiki, DBT, Apache Airflow, Python, Linux, and GitHub. Advanced skills in designing, testing, and
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strong statistics background. COGS2050 – Reading in the Mind and Brain COGS3020 – Computational Neuroscience: This unit requires the use of Python. Tutors are expected to have experience with programming
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systems or environmental sensing technologies. Strong programming skills in Python, MATLAB, or similar for real-time data processing. Demonstrated ability to work in collaborative, multidisciplinary teams
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experience with a demonstrated commitment to ongoing professional development. Proficiency in programming languages, including Python, JavaScript, and familiarity with R where applicable. Experience with
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in robotics, control, or autonomous systems. Experience with ROS/ROS2, MAVLink, PX4/ArduPilot, and onboard computing platforms (e.g., Jetson, STM32). Proficient user of Python, C/C++, Linux tools and
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++, Python, and ROS/ROS2 Demonstrated experience with robotic middleware, control algorithms, and system debugging Familiarity with Git, CI/CD workflows, and Linux-based software environments Excellent
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modelling tools (such as erwin), data pipeline technologies (such as Kubernetes, Apache Airflow, Python, Alteryx, etc.), database platforms (such as Oracle, mySQL, SQLServer, etc.), or application integration
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, empowerment, and integrity to apply. Learn more about our progress towards Equity, Diversity, and Inclusion. https://staff.mq.edu.au/work/diversity-and-community If you're already part of the Macquarie Group
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applications for this job through MathJobs.Org right now. Please apply at https://mq.wd3.myworkdayjobs.com/CareersatMQ/job/Wallumattagal-Campus-North-Ryde/Research-Associate_R000020111 . Contact: Dr Paul Bryan
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track record of developing and deploying state-of-the-art AI solutions. CHI is a research centre that drives digital health forward and shapes the future of AI in healthcare. https://www.mq.edu.au/__data