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, Psychology, Genetics, Statistics, Biomedical Engineering, or related fields, as well as experience with: Solid experience with deep/machine learning (e.g., keras, pytorch, sklearn, tidymodels) and/or
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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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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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Strong computer literacy and numeric skills, risk assessment experience and knowledge, statistical analysis software, and coding skills would be an advantage. Mahi Ngātahi | Who You Will Work With The role
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: One Offer rate: Annually Value: $500 This Prize was established in 1992 from funds donated to the Department of Mathematics and Statistics by Dr P J Collins, Fellow of St. Edmund Hall, Oxford (a