婀娜232

Phd Project The successful applicant will undertake big data analysis and development in deep leaming, Artificial intelligence and computer vision, co-creating advanced state-of-the-art solutions for disease diagnosis and prediction with clinical, genetic, and environmental data. The PhD project will be co-supervised Associate Professor Yuming Guo and Associate Professor Jiangning Song through School of Public Health and Preventive Medicine, School of Biomedical Sciences, and Monash Data Futures Institute, with collaboration with Harvard University, MIT, Kyoto University, and Peking University. The Opportunity for PhD Students Full scholarship and tuition fee waiver. Eligibility criteria 1. Applicants with strong teamwork skills and a strong research track record, particularly with prior experience undertaking research or development in machine leaming, Artificial intelligence, computer vision, and image processing are strongly encouraged to apply. 2. A Masters by research degree in a relevant discipline. 3. English requirement: IELTS, 6.5 overall (no band less than 6.0); or TOEFL (paper-based)*, 550+ TWE4.5; or TOEFL (internet-based)*, 79 + Reading 13, Listening 12, Speaking 18 & Writing 21; or PearsonTest of Academic English, 58 + communicative score 50 or greater; or Cambridge English, 176 + no skill below 169. Supervisors 1. Associate Professor Jiangning Song: Dr Song leads the Cancer and Infection and Immunity Programs. Trained as a bioinformatician and data-savvy scientist, he has a very strong speciality in Artificialntelligence, Bioinformatics, Comparative Genomics, Cancer Genomics, Computational Biomedicine, Data Mining, Infection and Immunity, Machine Learning, Proteomics, and 'Biomedical Big Data', which are highly sought-after expertise and skillsets in the data-driven biomedical sciences. He was awarded a four-year NHMRC Peter Doherty Biomedical Fellowship. He also received both the JSPS Long-term and Short-term Fellowships and did his postdoctoral research at the Bioinformatics Center, Institute for Chemical Research, Kyoto University, Japan. He is an affiliated member of the Monash Data FuturesInstitute and also Associate Investigator of the ARC Centre of Excellence in Advanced Molecular Imaging at Monash University. He is an Associate Editor of BMC Bioinformatics and Protein & Peptide Letters and serves as an Advisory Board member of Current Protein & Peptide Science. 2. Associate Professor Yuming Guo: Dr Guo is epidemiologist and biostatistician, and leads MonashClimate, Air Quality Research Unit. He is supported by NHMRC Career Development Fellowship. He has made a considerable contribution to improving the assessment of environmental health issues with new technology, novel statistical method, and big data approach. He has published more than 240 peer-reviewed articles in prestigious journals such as New England Journal of Medicine, The Lancet, Nature, BMJ, PLOS Medicine, JAMA Pediatrics, Nature Communications, Environmental Health Perspectives, The Lancet Planetary Health, and Environment International. His research findings have been highly-cited, with > 14000 times of citations. He is the academic editor/editorial board for PLoS Medicine, Environmental Health Perspectives, Environment International, PeerJ, and Annals of Cancer Epidemiology. Contact email: jiangning.song@monash.edu & yuming.guo@monash.edu