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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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be responsible for designing and implementing machine learning algorithms and models to predict and classify patterns in sensor data. The ability to be able to analyse complex data sets, including
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skills are essential, and experience working with statistical and/or physics-based models of crustal or surface processes is preferred. Candidates should have a PhD by the time of applying or expect
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and GIS skills are essential, and experience working with statistical and/or physics-based models of crustal or surface processes is preferred. Candidates should have a PhD by the time of applying
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have a good publication record which demonstrates your technical ability this will be the perfect opportunity for you. Requirements PhD in either polymer chemistry or materials science. Proven experience
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@canterbury.ac.nz). Mōu | Who You Are You will have a PhD in wildfire spread and impact simulation, traffic/evacuation modelling or a related discipline. Strong modelling with preferably GIS experience required
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@canterbury.ac.nz) or Tom Cochrane ([email protected]). Mōu | Who You Are You will have a PhD in Water Resources or a related discipline with strong experience in hydrological/hydraulic modelling
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, Mathematical Sciences and Mechanical Engineering. The School currently has 2800 equivalent full-time students and 110 permanent academic staff with approximately 200 PhD students. The School believes in high
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an advanced form of complex instruction. The focus of research projects has been on developing teacher expertise, culturally sustaining, task design, pedagogical leadership, what it takes to develop in-class
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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