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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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/ambient light handling. Image Preprocessing, Segmentation, and Feature Engineering Improve automated tongue segmentation and regionalisation (e.g., tip, sides, center, root) using models like U-Net/DeepLab
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value and student learning experience is crucial. Preference will be given to those with experience in qualitative analysis and advanced statistics such as Structural Equation Modelling, Multilevel
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or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic research papers. They should be organized, self
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[Appointment period: six months] Duties The appointees will assist the project leader in the research project - “Causality-aware trustworthy Large Language Model”. The appointees will be required to: (a
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/relevant work experience. (b) have basic knowledge of software, networking and Windows / Linux OS; (c) have knowledge in Python / PHP / C++ / C# / JavaScript / RDBMS / large language models for AI
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the research project - “Re-inventing surface haptics for robust human-machine interactions: from new modelling to psychophysical evaluation”. Qualifications Applicants should: (a) have an honours degree
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: Brain Organoid Culture and Maintenance: Cultivate, maintain, and characterise brain organoids derived from stem cells, ensuring optimal growth conditions and experimental reproducibility; Mouse Model