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research activities including laboratory experiments, numerical modelling (FEM/CFD), and development of AI models to optimise drilling processes. Translate research into outcomes by building prototypes
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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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technical problem solving. Work 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
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appropriate maintain accurate research records and comply with laboratory safety and regulatory requirements collaborate effectively with multidisciplinary research teams and external partners About you a PhD
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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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submitting your CV and a separate cover letter (no more than 2 pages) that demonstrates how you meet the following selection criteria: PhD in Materials Engineering, Chemical Engineering, or a related
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engineering faculties worldwide. For more information, visit the Faculty website: https://www.unsw.edu.au/engineering/about-us Skills & Experience: A PhD in Photovoltaic Engineering, Materials Engineering
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submitting your CV and a separate cover letter (no more than 2 pages) that demonstrates how you meet the following selection criteria: PhD in Materials Engineering, Chemical Engineering, or a related
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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