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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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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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advances in machine learning and real-time control fabricate robust instrumentation or photonic components for use at 8m-class and future ELT-class observatories perform lead roles instrument development
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apply methodologies, as the need arises, and teach new methodologies to members of the group and wider university community as needed. foster collaborations to advance research programs within the group
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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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work integrated learning opportunities. Our teams of researchers lead key internationally competitive research from molecules to medicines, from patient to policy, across a range of therapeutic areas
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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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. Our staff are also recognised for their outstanding commitment to teaching excellence. Click here to learn more about School of Chemistry . This position is lab‑based and requires onsite work at the
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, supportive and safe for everyone. To learn more about the School of Physics, click here About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and