186 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of Sydney in Australia
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across large cohorts (e.g., >300 samples) demonstrated experience in data analysis, visualisation, and machine learning, using programming languages such as R or Python excellent interpersonal, verbal, and
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relocation efforts within set timeframes. operate library-related technologies to carry out work activities. learn new tasks rapidly and contribute ideas to solve basic challenges that come up in day-to-day
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. Members of the Infection, Immunity and Inflammation theme teach students at both the undergraduate and postgraduate level and bring their research experience to these teaching programs with the goal
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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educational platforms and learning management systems excellent written and verbal communication skills, with the ability to write, edit, and proof publications for diverse audiences high-level computer skills
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stakeholders in data-informed decision-making Build strong partnerships to apply analytics and machine learning for meaningful impact About you Tertiary qualifications in analytics, data, or a related field (or
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Full time, continuing role Use your technical and creative skills to build engaging digital learning experiences Join a collaborative team driving education innovation in the Sydney Medical Program
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opportunity In this opportunity as a Senior Clinical Simulation Specialist, you will collaborate with academic staff to develop and implement clinical simulation scenarios that align with the program’s learning
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business analytics, marketing science, consumer behaviour, applied econometrics, optimisation and decision sciences, machine learning, artificial intelligence, and digital analytics. BAM has internationally
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students within the discipline, fostering a supportive and collaborative learning environment. Contribute to administrative activities and actively participate in School and Faculty meetings and initiatives