294 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at University of New South Wales in Australia
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experience or equivalent level of knowledge gained through any other combination of education, training and experience. Highly proficient computer literacy with excellent skills in Microsoft Office
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, education, fitness). For further details on the benefits, please visit https://www.jobs.unsw.edu.au/lifestyle-benefits How to Apply: Submit your CV & Cover Letter by 11:55pm, 12th April 2026 Please note
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literacy with advanced skills in Microsoft Office365 applications. Demonstrated ability in the use and administration of online systems and databases – previous experience in database management and CRM
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literacy with excellent skills in Microsoft Office applications and databases, in particular in Microsoft Excel. Preferably, strong analytical skills and familiarity with data analysis tools (e.g. R, Python
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several international research groups and centres. For further information about our school go to - https://www.unsw.edu.au/engineering/our-schools/chemical-engineering The Particles and Catalysis
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technologies through several international research groups and centres. For further information about our school go to - https://www.unsw.edu.au/engineering/our-schools/chemical-engineering The Particles and
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range of computer systems and applications, with preference for Microsoft Office Suite applications and learning management systems (LMS). Ability to work both independently and collaboratively and to
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advanced interpersonal, written and oral communication skills. Demonstrated experience providing effective customer service and support to clients at all levels. Highly proficient computer literacy with
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month as well as weekend and After-Hours work as required. Continue to keep well-informed and up to date in learning new identity technologies, programming languages, frameworks, and paradigms. Who you
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contributing to applied data science and machine learning activities that support urban analytics and research outcomes. The role focuses on reviewing, improving, and maintaining an existing data processing