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collaboratively with the CI, PIs, research staff, PhD candidates, Honours students and external project partners. Assist the CI and PIs with the technical supervision and mentoring of PhD and Honours students
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flows work with state-of-the-art experimental facilities, including novel subsonic and supersonic burners and advanced laser diagnostic facilities About you completed PhD in Mechanical Engineering or
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international conferences. About you a PhD qualification in Materials Science and Engineering, Metallurgy, Additive Manufacturing, Mechanical Engineering, or a closely related discipline demonstrated expertise in
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leading journals and conferences. About you · a PhD in Materials Science and Engineering, Physics, Materials Characterisation, Computational Materials Science, or a closely related discipline
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using Machine Learning who has: strong experience in signal processing, machine learning or a related field a PhD (or near completion) in signal processing, machine learning or a related field experience
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. About you a Doctorate or PhD in a relevant field and demonstrated experience in vision science research demonstrated understanding of the subject matter within the relevant discipline experience
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, breeding organisations, industry partners and other ARC Linkage collaborators including Murdoch University, IPK Germany, AGF Seeds, Agrifutures and Diversity Arrays. About you completed PhD in a relevant
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collaborators to ensure methods are aligned with pathological interpretation and clinical workflows contribute to the supervision and mentoring of PhD and Honours students within the group prepare high-quality
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computational methods for analysing spatial omics data work with interdisciplinary collaborators to apply methods to real biological data and interpret results contribute to the supervision and mentoring of PhD
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integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate in Electrochemical Engineering who has: A PhD degree (or near