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                closely with an industry partner, you will generate cutting-edge insights into protein structures and protein-ligand interactions using in silico approaches such as bioinformatics, modelling and docking 
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                . For the candidate, this will involve prodigious training opportunities: State-of-the-art tools/skillsets in epigenetics and bioinformatics (NGS techniques + systems approaches) and access to core equipment such as 
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                herbicide and antimicrobial resistance that threatens the global agricultural and health industries. This exciting project will draw on parallels with drug resistance to investigate a new molecular mechanism 
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                analysis and providing regular updates to the Lab Head and relevant stakeholders. Working under general direction the Research Officer manages the day-to-day operation of the laboratory and will be 
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                leading research institute in machine learning, artificial intelligence and computer vision. With world-leading researchers, modern facilities and an innovative culture, we're committed to delivering 
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                . These include mathematical analysis, numerical simulations, computational and data science approaches, natural language processing, etc. Depending on the specific findings, research outputs are targeted 
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                eligibility. Key Responsibilities Assist with experimental work on lipid nanoparticle formulation for drug delivery Operate and develop microfluidic platforms for nanoparticle synthesis Handle and process mRNA 
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                learning, artificial intelligence and computer vision. With world-leading researchers, modern facilities and an innovative culture, we're committed to delivering research that is highly valued by our local 
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                to contribute to continuous improvement initiatives by identifying service enhancements and assisting with program and procedure development project support, events, and broader University initiatives to ensure 
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                techniques, herbarium specimen collection, preparation, management and storage. Demonstrated experience with computer database software and portable digital data devices. GIS experience including