367 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at University of New South Wales
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against milestones. High-level computer literacy, including experience with statistical or data analysis software (e.g. Stata, R, SAS, MATLAB, or similar). Demonstrated superior interpersonal communication
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sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best
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the other on data science, including programming and machine learning. Both positions contribute to core and elective coursework, collaborate on interdisciplinary curriculum design, and support student
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developing research projects and reporting against milestones. Experience working with a range of computer systems and applications, including referencing software (e.g. EndNote), survey platforms and high
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confidential processes. Experience working with a range of computer systems and applications (MS Office specifically Excel, database systems and records management). Please refer to the position description
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. UNSW offer a competitive salary and access to UNSW benefits including: Flexible working Additional 3 days of leave over the Christmas Period Access to lifelong learning and career development Progressive
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education professionals in Australia and internationally. Our Initial Teacher Education programs focus on the nexus between theory, research, and professional practice, where students learn from world-class
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Apply now Job no:539058 Work type:Casual Location:Sydney, NSW Categories:Tutor, Lecturer, Other, Demonstrator At UNSW PLT, our commitment to learning as an interactive process ensures our graduates
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working with a range of computer systems and applications, including patient databases, Office suite and other data entry software, including ability to rapidly learn new software as needed. Excellent
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or equivalent competence gained through any combination of education, training and experience. Understanding of faculty-based teaching and learning processes in a large and complex educational institution and an