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international journals and conferences. A good track record of supervising research staff, postdocs, students, and interns in relevant fields Experienced in cross-disciplinary research initiatives and
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Applied Mathematics Position Type: Postdoc Location: NTU, Singapore Deadline: Open until filled Research Positions in Statistical Learning at the School of Physical and Mathematical Sciences of NTU
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preferred but not mandatory Personal Attributes Change Agent - proactive mindset to implement improvements Resilience – navigates ambiguity with composure and sound judgment Integrity - upholds the highest
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: Python, R, SQL, and ArcGIS; • Excellent knowledge of data science techniques and experience working with the following data formats: tabular, multi-level JSON, GIS, and images; • Excellent written
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teamwork 5. Experience as a change agent in an organisation 6. Proficient in SAP Ariba and Microsoft Office 7. Strong proficiency in written and spoken English for drafting tender specifications and
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considered has demonstrated knowledge of experimental economics generally, and the behavioral bias, heterogenous agents model, asset pricing and decision making in the financial market in particular has
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programme and coursework Masters and continuing education programmes (e.g., MSc and Professional Certificate in Applied GIS and MSc in Climate Change and Sustainability). A cross-disciplinary program in
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courses in the area of Information Systems and Computer Science, in particular, courses such as: Agentic AI for Intelligent Autonomy Masters degree or PhD degree in a closely related discipline from a well
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optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and
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problems, linking regional planning, urban design, and building systems. Knowledge of data-driven methods and tools (AI, GIS, parametric modelling) for predictive and evidence-based modelling will be