36 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at UNIVERSITY OF SYDNEY in Australia
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Health Multidisciplinary Training (RHMT) Program. Our focus at the BHUDRH, is to lead the design and delivery of innovative teaching and learning environments for medical, nursing and allied health
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experience experience in molecular biology or genetic engineering techniques ability to learn how to conduct protein purification and characterisation ability to operate and maintain biological equipment (e.g
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. Applications Close Monday 02 February 2026 11:59 PM Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405316/associate-professor… Requirements Additional Information Work Location(s
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the Position Description for this role. Applications Close Monday 19 January 2026 11:59 PM Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405304/postdoctoral-resear… Requirements
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The University reserves the right not to proceed with any appointment Applications Close Monday 02 February 2026 11:59 PM Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405218
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and publishing original research and engaging in scholarly activity experience in teaching and learning, as evidenced by participation in team teaching and teaching in a variety of settings. To keep our
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related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or Econometrics (particularly applied micro, behavioural, or decision-focused modelling) Applied Mathematics
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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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collection and management for research, as well as basic knowledge of both quantitative and qualitative data analysis principles. Demonstrate high levels of computer literacy, including proficiency in learning
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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