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like Houdini (preferred); - Python programming language (preferred). (c) demonstrate capacity to conduct tutorials, workshops, laboratories, assessments and examination independently and effectively
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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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sensing, InSAR, ArcGIS software, machine learning application, etc.; (b) have good knowledge of programming languages, e.g. Python, Matlab, and C/C++; (c) have good communication skills; (d) be
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etc.; and (d) be able to perform data analysis using statistical analysis programmes, such as Stata, Python or others; and (e) possess experience in writing policy reports and academic articles
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informed neural networks (PINN) and explainable machine learning (EML) frameworks; experience in related technologies including large-scale data analysis, deep learning, Python, PyTorch; and the ability
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, LMS and CRM), Agile/Scrum methodologies, DevOps practices, and modern programming languages (e.g. Java, Python and .NET) Proficiency in database systems (SQL and Oracle), web technologies (HTML5 and
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immunohistochemistry techniques. Working knowledge of SPSS for data analysis. Knowledge of Python and/or R for analyzing next-generation sequencing (NGS) results will be a distinct advantage. Experience in preparing
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, applicants should also have: (a) strong background in robotics, localization, mapping, and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated
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, mapping, and multi-modal sensor fusion; (d) proficiency in programming languages such as Python and C++; (e) demonstrated ability to conduct independent research and contribute to collaborative
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qualification. For all posts, applicants should have: (a) web and/or mobile development experience; (b) familiarity or proficiency in Python/NodeJS/ExpressJS/ReactJS/React Native/MongoDB/ MySQL/HTML/CSS