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qualitative methods. Expertise about social media and hosted distribution services such as YouTube (specifically from a media studies perspective); knowledge about non-Australian media markets. Proven scholarly
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will join a team at the forefront of translational cancer research by developing and applying innovative bioinformatics methods for multi-omics data analysis. Your work will encompass diverse modalities
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. There are many elements of expertise required in this project, and it is not expected that the applicant will have experience in all of them. You will be expected to work with other team members who have more
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Science and Technology. It aims to develop computational representations and methods for efficient sequential decision-making under uncertainty with applications in multi-robot domain. We will explore
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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in applying these methods to renewable energy (wind or photovoltaic) applications is highly desirable. This position will provide you with the opportunity to develop your scholarly research and
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(PhD entry level $105,518 p.a.) Join a collaborative and cutting-edge research environment working with world-class researchers. Apply statistics, bioinformatics, and machine learning methods to analyse
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clinical and public health decision makers, and collaborate with them to co-design research, implement and evaluate interventions, and explore the application of innovative methods and new technologies
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(PhD entry Level - $108,156 p.a.) Join a collaborative and cutting-edge research environment working with world-class researchers. Apply statistics, bioinformatics, and machine learning methods
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pioneering teaching methods. To learn more about the School of Nursing and Midwifery at Monash . About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing