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Field
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techniques using R, demonstrating strong proficiency in data analysis and reproducible workflows manage large health research datasets and data access applications provide statistical advice and mentoring
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reproducible workflows manage large health research datasets and data access applications provide statistical advice and mentoring to students within the discipline and external colleagues and collaborators
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location, 2-3 days in the office, Hybrid working About UNSW: UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary
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places you’ve worked. Yes, we’re a large organisation with a diverse and talented community, a community doing extraordinary things. Together, we are driven to be thoughtful, practical, and purposeful in
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large scale training data available.
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Overview: 1 x Full time, fixed term (3 years) position available to join the School of Computing Technologie – Interaction, Technology and Information Discipline Salary Academic Level B ($115,303
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students to meet required deadlines while ensuring consistent processes and accuracy of clinical data. Work in collaboration with key staff to maintain and support relationships with placement partners
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is carried out within the LHCb collaboration that runs one of the four large experiments at the Large Hadron Collider at CERN as well as towards future collider developments. I supervise a number of
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reporting and data insights Desirable: Experience with HR or workforce data Experience in a large or complex organisation, ideally within higher education Exposure to tools such as Python or R Role
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection