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primary focus on data mining and the application of machine learning/artificial intelligence models to address complex bioinformatics and biomedical problems. The ideal candidates may hold degrees in
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causes of cancer; modeling the development and progression of cancer; organizing and processing large data resources to create harmonized datasets; and mining datasets for novel subtypes of diseases
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(DRS), ATAC-seq and short-read RNA-seq; 2) perform deep mining of human genetic, particularly GWAS, data to identify disease-associated long non-coding RNAs; 3) utilize artificial intelligence (AI
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Computing infrastructure and Data Storage support to meet all the computational needs of HT’s research groups. Key Tasks and Responsibilities: Mining existing cancer dependency map datasets to prioritise
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learning, etc. 2. Computer vision, natural language processing, speech processing, intelligent perception, data mining, visualization, etc. 3. Robot learning, autonomous control and decision-making, robot
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on the strong foundation of NJU’s national “Double First-class” disciplines including Physics, Geology, Chemistry, Materials Science and Engineering, and Mining Engineering. With the support of the National