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data democratization, data governance, data culture as well as operational activities such as the collection, analysis, visualization of data and presentation of analytical results for regular and ad-hoc
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decision optimization, big data analytics, risk control, and neural network generative models to enhance resilience in various systems and processes. The role involves both theoretical development and
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change at the workplace. The ideal candidate will possess: Education: A Masters or PhD degree in Clinical Psychology, Applied Psychology, or Counselling from an accredited institution. Your advanced
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Job Description We are seeking passionate and articulate individuals with a strong desire to empower young minds in Data Literacy. GEA1000 Quantitative Reasoning with Data, the default NUS course