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, support for facilities and space planning, and day-to-day operational issue resolution. You will manage operational tasks such as maintaining data and records, processing purchases, coordinating equipment
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groups Liaise with internal and external stakeholders to ensure effective communication and workflow Contribute to process improvements and operational efficiency You’ll play a key part in ensuring
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well as identifying process improvement needs, assessing the impact of changes, undertaking process modelling, capturing/documenting requirements and ensuring that requirements are delivered whilst supporting
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conversion of biomass into high-value platform chemicals and bio-slurry fuels. The project builds on our patented and published bench-scale work, aiming to scale up the process to continuous operation using
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This position has a two-stage selection process: Stage 1: Please submit an EOI using the Faculty of Information Technology Research Project Enquiry form here: supervisorconnect.it.monash.edu/enquire . With
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in experimental research, including animal handling, substance administration, animal model development, protein expression, tissue processing, cell culture, imaging, and flow cytometry. In addition
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much
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, addressing critical challenges in the transition to sustainable metallurgical processes. The successful candidate will develop a fundamental scientific framework to tackle key research questions in
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, process improvements, contract management and finance management, for Monash University’s Building Automation and Digital Buildings function. The Manager supports essential operational technologies and
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commercialisation, and contribute to executive decision-making processes to advance the Faculty’s strategic goals. As the successful candidate, you will bring a distinguished record of academic achievement and