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& reproducible code) Experience with natural language processing tasks (in R or Python familiarity with common tasks such as sentiment analysis, topic modelling, classification using transformer-based models
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, and capable of supporting future research and digital services. Examples of development work include: Building automation and Infrastructure-as-Code solutions Improving deployment pipelines and service
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responsibilities, including: Mapping policy architectures and debates. The project will document the existing policy architecture (policies, laws, regulations, statutes, codes, standards) for GGR and SRM within
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multimodal learning scenarios (text, speech, code), contributing to adaptive dialogue design, and examining how novice programmers develop reasoning, reflection, and metacognitive strategies when engaging with
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