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3-year postdoctoral role for an early career researcher with a PhD in plant molecular biology, plant-microbe interactions, or synthetic biology. Contribute to research to support the grain industry
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and drought preparedness. PhD students will undertake work informing farmers and advisors on technology options and approaches to best farming practices for assessing the reward-risk payoffs of
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, electrolyser engineering, and green hydrogen production. You will be given the opportunity to work collaboratively with a motivated team of early career researchers and PhDs on water electrolysis. Within
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: Murdoch University Duration of Award: 3 years Level of study: Research Study Area: Engineering Eligibility How to Apply Eligibility We seek a highly motivated PhD candidate with strong machine learning
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: Qualification in the relevant discipline area and have commenced or enrolled to commence your PhD. Mandatory for Level B: PhD or equivalent in relevant field Please Note: Appointment to this position is subject
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in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high-quality papers on deep learning theory, machine
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and industry, together with a strong commitment to teamwork and multidisciplinary collaboration. Qualifications Mandatory: A PhD degree in Computer Science related field is required. Note: Appointment
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). Track record in administration, research and teaching commensurate with level. Higher research degree (MD or PhD) or working towards same. Experience in conducting high quality research in a recognised
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for the position Completion of a PhD or equivalent accreditation and standing recognised by the University/profession as appropriate for the relevant discipline area. A comprehensive knowledge and ability
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the lead in securing funding for research and creative initiatives. To be successful, you’ll have: Post-graduate qualifications (a PhD or equivalent or Masters) in health economics and/or public health