62 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at Nanyang Technological University
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on client preferences and emerging technologies. Collaborate with Full Stack engineers to integrate your tools pipeline into the TTnet software architecture. Write clean, maintainable code and conduct
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research artifacts. Support the preparation of research publications, codes, and grant-related deliverables. Participate in regular team meetings and contribute to the problem-solving, design, and
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-motivated and proactive team player who is also able to work independently when required. Responsibilities: Conduct literature reviews (summarizing, coding, and organizing relevant literature). Perform
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. Performing research duties (e.g., IRB protocol, submitting reimbursement requests, database management, data entry, and data coding) Assisting with organizing and implementing lab economics and behavioral
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, including site recce, venue setup, furniture rental, AV requirements, and catering services. Prepare registration and feedback forms and corresponding QR codes for use during events. Arrange transport for off
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coding). This person must have strong collaborative and interpersonal skills to work with a team of experts in teaching and learning, and to liaise with various university stakeholders. We regret that only
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-on experience in specific scope Familiarity with required scope (e.g. national codes and standards) Good written and oral communication skills (if applicable) Proficiency in hard skills / job-specific abilities
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replicability Assist in thematic coding and clustering of research findings Support scoping review, creation of summary tables, and conceptual maps. Contribute to writing methods and results sections following
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advanced proficiency. Working knowledge of widely used statistical tests. Functional proficiency in statistical coding using R, Python, or similar programming languages. Proficiency in written and spoken
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learning or computer vision conferences/journals, such as TPAMI, IJCV, CVPR, ICLR, ICCV, ECCV, NeurIPS, ICML. Strong coding skills in scientific or engineering software like PyTorch, TensorFlow, Keras, etc