200 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Sydney
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funded under the Commonwealth Department of Health’s Rural Health Multidisciplinary Training (RHMT) Program. Our focus at the BHUDRH, is to lead the design and delivery of innovative teaching and learning
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+ 17% superannuation About the opportunity The School of Electrical and Computer Engineering, Faculty of Engineering is seeking a Postdoctoral Research Associate – Antenna Design to contribute to applied
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public health programs · engage in high‑quality global health teaching and learning experiences focusing in particular on Skills for working in global health (including situational analysis
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an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and agricultural datasets proficiency in R and/or
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construction, causal inference, advanced econometrics, and machine learning, positioning the school strongly for future developments in AI-enabled finance research. Teaching excellence is delivered at scale
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set up of examination venues, including paperwork and computer equipment, receiving, and checking computer systems to facilitate the efficient delivery of computer-based examinations on campus ensure
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Education Designers to join our team and play a hands-on role in enhancing the student learning experience. This is a highly collaborative, high-impact role where you will work closely with academics and
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Designers, while providing sound strategic advice and operational support. Contribute to learning and teaching improvement projects within a Faculty that is a passionate leader in creating a digital
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: Using big data insights to optimise the manufacturing process The second phase of this project will focus on processing and utilising machine-learning techniques to analyse large volumes of data from
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Full time, continuing based at our Camperdown campus Lead the design and delivery of high‑quality learning experiences aligned to the Business School’s learning and teaching strategy HEO 10 Base