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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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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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, including students and postdocs. The key objective is to support efforts to study the general principles of cellular lipid homeostasis and how they are used by neurons to control brain function. For more
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agents and field samples, including nucleic acid extraction, PCR, RT-PCR, NGS and serological assays. Prior experience in downstream analysis, Geneious, GenBank, FigTree, R/R-studio is preferred but not
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agents and treatment combinations in cancer models. Manage and maintain mouse xenograft models (including PDX and cell-line derived models). Perform drug administration, tumor measurement, sample
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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
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vector geospatial data, basic understanding of GIS software (QGIS preferred) • Experience with at least one JavaScript library dedicated to building maps (OpenLayers preferred) • Understanding
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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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discipline Strong record of research and relevant publications in reputable peer-reviewed international journals A good track record of supervising research staff, postdocs, students, and interns in relevant
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university-level institutes focus on solving the world’s most pressing challenges. As an NUS postdoc, you will benefit from access to state-of-the-art research facilities, opportunities to collaborate with