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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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. Proficient in Python, database querying, and data visualisation, you excel in process improvement, automation, and change management. With excellent organisational, administration, and customer service skills
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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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of recognised models. The ideal candidate will have; Experience with cloud platforms (AWS, Azure, GCP) and hybrid architectures; languages such as Java, Python or Node.js.; API development; data handling
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R and Python and AI software and a willingness to adopt new technologies will also support your success. If you're passionate about research that informs better science and you're ready to contribute
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publications. It involves conducting systematic reviews and working with analytical software such as R or Python, with a focus on both independent and collaborative research. The role also requires experience in
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experience with analytical software like Stata, R, or Python, are essential. The ideal candidate will also have experience with geospatial tools. Additionally, you will have experience designing and managing
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issues related to land use, biodiversity, agriculture, or food systems. Experience with modelling approaches and software, particularly Python and spatial modelling Why Join Us? To be part of a mission
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various sources. Required knowledge Python programming Machine learning background Image analysis Video analysis
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, Python, and/or C++) A strong track record of research output, including journal publications and conference contributions Expertise or strong interest in one or more of the following areas: Computational