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that are in line with the Code of Ethics of SAC Possess good interpersonal and communication skills Proficiency in IT skills (e.g. Microsoft 365, use of Apps, appointment booking systems, case management
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expected to assist with data coding of video and audio data for behavioural analysis of parent-infant social interaction and synchrony. Candidates with a proven track-record in one or more of these areas
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that align with organizational priorities, and support the adoption of digital tools to enhance operational excellence. Technology Solutions Development & Support - Build, maintain, and administer low-code
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data coding and analysis (SPSS, Nvivo) Excellent communication skills, including academic writing Personal attributes Independence and proactive stance toward work tasks Good interpersonal skills
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measurements, the candidate will assess the classroom environment and teacher-child interactions, administer standardized developmental tests, and contribute to behavioral coding and data analysis. The incumbent
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and a strong commitment to Software Engineering best practices, writing code that is clean, modular, and maintainable. • MLOps & Cloud Proficiency: Fluent in the essential MLOps toolkit, including Git
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of statistics and machine learning models Proficiency in coding using Python Knowledge of biomechanics and computer vision is a plus Experience in the following skills is a plus: (1) biomechanics software (e.g
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development and debugging experience Solid understanding of fundamental machine learning and AI techniques Knowledge of computer graphics and interface design Fluent in coding with generative AI Creativity
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guidance. Develop documentation, training materials, and reusable code templates. Requirements Bachelor’s degree in Computer Engineering, Sciences or its equivalent. Hands-on experience with CUDA, OpenCL, C
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to code in Python Able to write academic papers Responsibilities: Liaison with school and MOE partners Organisation of meetings Coordinating with other team members Conduct literature reviews Assist in