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industry, government, and community partners to gather data and refine the investment framework. Support Research Training: Contribute to the supervision and mentoring of research students, primarily
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and values diversity acting as a role model and fostering an inclusive working culture Person Specification Essential: PhD (or near completion) in Computer Science, Data Science, AI, or a related field
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cells in invertebrates. This Leverhulme Trust funded post is available from 1 February 2026 to 31 March 2027. The successful applicant will carry out experimental and computational work related to
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John Williamson, and Dr Sebastian Stein. The job requires the proven ability to develop novel theory and build and evaluate working interactive prototypes involving complex computational models
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sustainable agricultural practices. Our expertise spans biophysical, social and technical sciences, and we support a large cohort of PhD students across these domains. Be Yourself The University of Melbourne is
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the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
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economically sustainable agricultural practices. Our expertise spans biophysical, social and technical sciences, and we support a large cohort of PhD students across these domains. Be Yourself The University
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present at conferences and other events. supervise the work of others identify sources of research funding and contribute to the process of securing funds possibly supervise PhD students in a related field
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-related activities and research-related administration. Undertake management/administration arising from research. Supervise students on research related work and provide guidance to PhD students where
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sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent qualification