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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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knowledge of Alteryx, Python, R, SQL, AWS, and PowerBI Awareness of emerging trends in Artificial Intelligence (AI) and Machine Learning (ML) within the data and analytics domain, and ability to assess
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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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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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and leadership Demonstrated advanced programming skills in Python and R (including frameworks such as PyTorch and TensorFlow). Experience using/applying advanced AI techniques including large language