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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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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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experience. Applicants who are in the process of completing a Ph.D. degree will also be considered. Desirable qualifications include physics deep learning, digital twin, smart and resilient infrastructure
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docking to investigate viral spike/capsid architecture, thermal stability, and immune epitope accessibility. AI/Deep Learning: ML/DL model development (e.g., PyTorch, Lightning) for predicting antigenicity
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/Deep Learning: ML/DL model development (e.g., PyTorch, Lightning) for predicting antigenicity, genetic variation, and viral evolution. Genomics & Bioinformatics: Viral genome-based evolutionary analysis
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. The position offers an excellent opportunity for academic publications, building research partnerships with international researchers and local mental health service providers, and learning the implementation
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public health would be highly desirable. Knowledge and skills in mathematics, biostatistics, advanced statistical techniques in clinical research, database management, and machine learning/artificial
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learning. He/she will be responsible for literature review, preparation of assessment materials, liaise with external parties, coordination of research activities, conducting assessments with children and
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visualisation skills, the ability to present abstract concepts in an accessible way to all organisational levels and to acquire new statistical techniques by self-learning. They should be responsible, mature
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statistical techniques in clinical research, database management, and machine learning/artificial intelligence (AI) would be an advantage. The appointee will work with the Principal Investigator on various