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of algorithm-hardware co-design, especially for robotics or edge AI deployment. Strong programming skills in C, C++, and Python, with experience in deep learning frameworks such as PyTorch or TensorFlow
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standards. Strong written and oral communication skills. Competence in information visualization and interaction design. Basic scripting or control software development skills (e.g., Python or C
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measurements, awareness of noise, efficiency, and timing trade-offs in low-light imaging. Applicants should have competence in data acquisition/analysis and scripting for instrument control (e.g., Python/Matlab
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one or more of the following will be advantageous: Possessing the following skillsets will give the applicant an added advantage: Programming or scripting (e.g. Python, JavaScript, SQL). Automation
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, economics, or a closely related field. Excellent knowledge of computational linguistic tools and machine learning techniques. Experience with data analysis with Python and STATA. Prior experience in
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geological modelling software (e.g. Leapfrog and GOCAD) and machine learning skills Good written and oral communication skills Proficiency in at least one programming language (e.g. Python) Competent in
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education projects Has published in reputable academic/scholarly journals Background in technology and ability to code in Python Ability to write academic papers Responsibilities: Liaison with school and MOE
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coding in bash and R/Python Experience in creating and maintaining Nextflow pipelines. Experiences of analyzing large-scale population data. Experiences working with electronic health records (desirable
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communication skills with the ability to prepare technical reports and academic publications. Proficiency in job-specific technical skills, including programming for research and data analysis purposes (e.g. Python
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., Python, PyTorch). Practical experience in at least one of: driving simulation, spatiotemporal AI models, or traffic safety analysis. Strong publication record is an advantage. Excellent English