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. Strong programming skills in Python and/or R. Experience in analyzing both quantitative and qualitative research data. Experience in statistical consulting, dashboard development, and data visualization
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Python programming skills for processing annotated data, implementing fine-tuning techniques (e.g., Chain-of-Thought, Retrieval Augmented Generation), and optimizing outputs through cross-referencing and
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, Python, SAS, or similar) fluent in English (written and spoken) proven grant-writing success and ability to secure funding strong academic track record (peer-reviewed publications, conference presentations
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data annotation (brat), Python scripting, and integrating optimization techniques such as fine-tuning, Chain-of-Thought, and Retrieval Augmented Generation to enhance LLM outputs. Experience in creating
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using one of the software including STATA, Python, R, or Matlab; and (c) completion of undergraduate or post-graduate level courses in Statistics and/or Optimization with good grades. Preference will
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programming language, such as JavaScript, C++ or Python; (b) be familiar with BIM development frameworks (e.g. Revit API, AutoCAD .NET API, and Forge); and (c) understand BIM standards (e.g. IFC and COBie
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Ref: 25/103) Marketing (Post Ref: 25/104) Organizational Behaviour (Post Ref: 25/105) Programming (Python) (Post Ref: 25/106) Psychology (Post Ref: 25/107) Quantitative Skills (Post Ref: 25/108) Sports
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related disciplines Extensive experience in processing magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C
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learning application, etc.; (c) have good knowledge of programming languages, e.g. Python, Matlab, and C/C++; (d) have good communication skills; (e) be self-motivated; and (f) have good professional ethics
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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model