RMIT University

Melbourne, Victoria, Australia

The intent of work placement is for participants to gain work experience at a level commensurate with Master in Biotechnology. A student could work individually or in teams undertaking biochemistry, molecular biology, microbiology, genomics, bioinformatics or related biotechnology projects. Student(s) could either assist in developing new assays or testing more samples with an existing assay.All placements need to be submitted through our internal form:https://app.smartsheet.com/b/form/edbfbb5b2d5941719d497fe9aa83c75fOur students prefer in-person experience. If you would like to offer an in-person experience, please submit your request latest by 15 March.

RMIT University

Melbourne, Victoria, Australia

The intent of work placement is for participants to gain work experience at a level commensurate with Master in Biotechnology. A student could work individually or in teams undertaking biochemistry, molecular biology, microbiology, genomics, bioinformatics or related biotechnology projects. Student(s) could either assist in developing new assays or testing more samples with an existing assay.All placements need to be submitted through our internal form:https://app.smartsheet.com/b/form/edbfbb5b2d5941719d497fe9aa83c75fOur students prefer in-person experience. If you would like to offer an in-person experience, please submit your request latest by 15 November.

RMIT University

Melbourne, Victoria, Australia

The intent of work placement is for participants to gain work experience at a level commensurate with Master in Biotechnology. A student could work individually or in teams undertaking biochemistry, molecular biology, microbiology, genomics, bioinformatics or related biotechnology projects. Student(s) could either assist in developing new assays or testing more samples with an existing assay.All placements need to be submitted through our internal form:https://app.smartsheet.com/b/form/edbfbb5b2d5941719d497fe9aa83c75f

RMIT University

Melbourne, Victoria, Australia

This work integrated learning course addresses the application of analytics and statistics in a real world situation for final year Master of Analytics, Master of Statistics and Operations Research and Bachelor of Analytics students. The projects include data pre-processing and cleaning, data wrangling and exploration, data visualisation (such as dashboard), time series analysis, multivariate analysis, predictive modelling, quality control, regression, machine learning, , experimental design and optimisation. Computation tools include in particular querying language (SQL), R, Python, SAS, and Matlab. Our WIL projects have helped big and small companies improving their service and efficiency using current analytics and data science techniques. The WIL also provides a pathway for industry to recruit excellent graduates. Some employers report that our students bring fresh ideas and approaches to the workplace, sharing the latest research and thinking in the field they study.