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in Finance and in Marketing and Blockchain Enabled Business and higher degrees by research (Masters or PhD) in all three of our disciplines (Economics, Finance and Marketing). Our undergraduate
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for the supervision of about 100 PhD students. The School is research-intensive with expertise in the disciplines of Computational Biology, Ecology & Conservation, Evolutionary Biology, Neuroscience and Science
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as a career launching pad for high-achieving scientists within 8 years of award of their PhD (considering ROPE) to establish their own laboratory and research directions in their chosen field. Skills
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appropriate within the classification level as required. About you PhD in an academic field relevant to the discipline is preferred or currently undertaking a PHD by research or with lived experience be able
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and undertake administrative tasks as appropriate. The successful applicant must have a completed PhD in a relevant discipline and a recognised teaching qualification together with recent experience
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of minimum 4 years of tertiary study and preferably a PhD (or significant progress towards a PhD) in Statistics or a related discipline, with expertise in applied/computational statistics. Proficiency in
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-making. Applied statistics and/or data science, with demonstrated experience in sport-related problems or datasets. To be considered for this position, you will have PhD appropriate for the advertised role
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industry partners and collaborators. Contributing to funding applications and dissemination of research outcomes. Skills and experience: To succeed in this role, you will have: A PhD or equivalent research
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in the CryoEM User Group. About you A PhD in Structural Biology or a related discipline. Expertise in standard molecular biology and recombinant protein expression and purification methods. Expertise
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this role, you’ll bring: A PhD in a relevant field. Proven record of scientific excellence, originality and research independence. Commitment to team science, open, responsible research (FAIR data), and a