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statistical analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., eye-tracking, pupillometry) Interest or training in technology law, digital regulation, or AI
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experience Proficiency in Python programming and experience with databases, SQL, and data modelling Demonstrated experience developing data pipelines and ETL processes using tools such as Apache Airflow
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languages and technologies (e.g., Excel VBA, Visual Basic, Python, or similar languages). Excellent analytical and problem-solving skills, with demonstrated ability to interpret and apply policies, standards
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levels in sleeping infants. The successful applicant will develop significant skills in fNIRS data collection, data mining techniques and data modelling (Python/Maltab). Lab head Professor Colette McKay
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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, judgment, and initiative Familiarity with Python and Callista data is desirable About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something
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: Competency in automating tasks using Python, Ansible, REST APIs, and related tools. Monitoring & Troubleshooting: Expertise in network monitoring and diagnostics using tools like SolarWinds, Splunk
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statistical / data science languages such as R or Python Experience working with geographic information systems Desirable Characteristics: Experience with building spatially explicit models, including
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responsible for: Develop and oversee the development and maintenance of Python scripts to merge data extracts from multiple sources, ensuring data consistency, accuracy, and integrity. Manage and test the AI
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ability to learn if necessary): One or more scientific programming languages, such as Python (preferred) or R, with a preference for functional style and algorithms experience. One or more deep learning