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penetration tests (for model validation). Good knowledge of data statistics (curve fitting and formula derivation). Skilled in writing clear, concise, and structured scientific papers and technical reports. We
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), under a brain-computer interface paradigm, as well as statistical data analysis. Specifically, the researcher is expected to: 1. Be involved in planning and executing data analysis and statistical
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following fields: Large random matrices Machine Learning Job Requirements: PhD degree in statistics or related areas. Experience in random matrices or machine learning Strong written and verbal communication
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or Master’s degree (preferred) in Data Science, Computer Science, Engineering, and Mathematics, Statistics or any related field Applied experience with statistical modelling (hypothesis testing), machine
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with the research design and statistical analyses Assist with writing progress and final research reports Contribute to research publications and presentations Engage in the dissemination of research
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of doctoral/postgraduate research students. Job Requirements • Possess a PhD in Travel behaviour, Management, Economics, Statistics, Psychology or related disciplines. • Has good understanding
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and research team Perform data cleaning, statistical analysis and data visualization using a variety of statistical methods including bioinformatics platforms such as R and Python Perform literature
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contacted. Job Requirements • Possess a PhD degree in Civil Engineering or Materials Engineering with demonstrated experience in designing and conducting experiments, performing statistical data analysis
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, metrology, electrical testing, and strong in data analysis will have advantage. • Proficiency in data analysis and interpretation using statistical tools and software packages. • Excellent communication
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degree in bioinformatics, statistics, computer science or related fields with good machine learning skills and software development skills Hands-on experience on data cleaning, analysis and use of data