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: Develop polygenic scores and integrate them with other omics and clinical datasets to predict treatment outcomes in patients with psychiatric disorders. Apply statistical models, e.g. using machine learning
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, e.g. using machine learning techniques, to improve the accuracy of predictions for polygenic risk scores in psychiatric patients. Conducting quantitative genomic analyses of complex traits using various
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needs. Professor Kannan Govindan and Associate Professor Devika Kannan lead this new centre. Prof Govindan explores the use of industry 4.0 technologies (blockchain, big data, AI, machine learning, and
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needs. Professor Kannan Govindan and Associate Professor Devika Kannan lead this new centre. Prof Govindan explores the use of industry 4.0 technologies (blockchain, big data, AI, machine learning, and
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. Learn more about Monash . The Opportunity The School of Electrical and Computer Systems Engineering located within the Faculty of Engineering has an exciting opportunity for a Postdoctoral Research Fellow
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in problem solving, you will also demonstrate: The ability to work independently and as part of diverse teams taking initiative and exercising sound judgement. Well-developed computer literacy
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of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose of providing actionable information. Analysis
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. This position will involve the development of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 23 days ago
and machine learning, galaxy formation and simulations, integral field unit observations. Applications are encouraged from researchers who wish to undertake novel and collaborative research as part of
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Australian National University | Canberra, Australian Capital Territory | Australia | about 16 hours ago
spectroscopy and stellar abundances, stellar structure and stellar evolution, chemical evolution modelling, large survey data, statistics and machine learning, galaxy formation and simulations, integral field