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opportunity to generate new ideas on how to control pest insects, deploy genetic technology for the control of significant pest species and understand the biology and population genomics of invasive species
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journals and mentor junior scientists in the laboratory. Skills and Experience / Kā pūkeka me kā wheako Applicants must have a PhD or equivalent degree in Computer Science, Data Science, Neuroscience
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Campus of the Auckland University of Technology. The successful applicant will have completed a PhD in ecology, with a preferred focus in the areas of forest restoration ecology and statistical modelling
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experience • PhD in Bioinformatics, Genetics, Microbiology, Biochemistry, or similar field. • Experience with bioinformatics analyses of high-throughput sequencing data. • Proficient with R, Python
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professionals, and PhD and masters' students. We are committed to working closely with iwi and Māori organisations, and mātauraka Māori has become an integral part of teaching and research across the institution
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. For a confidential conversation about the role, please contact Tim Walmsley, Senior Lecturer on [email protected] Ko wai koe? - Who are you? Along with your PhD in software engineering or
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with supervision of postgraduate students. Your skills and experience/Kā pūkeka me kā wheako Our ideal candidate will have a PhD and strong background in investigating the function and regulation of ion
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selection requirements: Selection Requirements Research activity of the postdoc as judged by the PBRF criteria. PhD with a track record of publications (applicants should be within five years of completing
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postgraduate PhD level qualification. A good understanding of tikanga Māori is essential to support staff within the bi-cultural context of Aotearoa/New Zealand. The role is based at AUT South Campus but has
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accelerometer, GPS, and Ecological Momentary Assessment (EMA) data, to derive actionable insights and drive informed decision-making is essential. You will hold a PhD or relevant qualification in sport and