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Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer Vision and Graphics, Statistical Learning, and Bioinformatics. Please visit
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have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii
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health, medical data science, computational medicine, and bioinformatics with capability in developing innovative research, teaching, and technology transfer programmes that bridge AI and medicine
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outstanding interdisciplinary scholars with a focus on artificial intelligence (AI), digital health, medical data science, computational medicine, and bioinformatics with capability in developing innovative
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postgraduate levels. Expertise in bioinformatics, high-throughput sequencing data analysis, and computational biology is essential. Skills in applying data science and artificial intelligence to biomedical
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of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation, computer vision and graphics, and bioinformatics
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an innovative and well-funded research group that is open to interdisciplinary collaboration. Research should be at the forefront of biology and medicine, spanning basic molecular and cellular processes
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at the forefront of biology and medicine, spanning basic molecular and cellular processes, developmental and stem cell biology, cancer, body defence systems, neuroscience, bioinformatics and bioengineering. In
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-discipline call. Recruitment areas include Bioinformatics and Bioengineering; Cancer Biology & Therapeutics; Chinese Medicine; various specialties under Clinical Medicine; Data Science/Big Data/AI Applications
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to our expanding research portfolio, and clinical and teaching activities. This is an open-discipline call. Recruitment areas include Bioinformatics and Bioengineering; Cancer Biology & Therapeutics