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Homodynamics in the microcirculation
Homodynamics in the microcirculation Tet Chuan Lee, PhD candidate, Dr Richard John Clarke, Supervisor, Dr David Scott Long, Co-supervisor, Department of Engineering Science Home • Archive for "Department of Engineering Science" Overview The...
Processing structure-from-motion photogrammetry on the cluster
Processing structure-from-motion photogrammetry on the cluster Dr Jon Tunnicliffe, Lecturer, School of Environment Home • Archive for "Data Visualisation" Introduction and research The nature of earth surface processes analyses and simulation has...
Computational investigation of catalysis mechanisms for polyurethane synthesis
Computational investigation of catalysis mechanisms for polyurethane synthesis Dr. Tilo Soehnel1, Senior Lecturer, Neil Edmonds2, Senior Lecturer, Ransi Devendra3, PhD candidate. 1 & 3 School of Chemical Sciences, 2 Department of Mechanical Engineering...
Virtual childhood obesity prevention laboratory
Virtual childhood obesity prevention laboratory Professor Ni Mhurchu, Programme Leader, Population Health. University of Auckland. Deep learning & analytics provided by Sina Masoud-Ansari, Research IT Specialist, Centre for eResearch, University of Auckland...
Development of novel waveguides in the terahertz (THz) region
Development of novel waveguides in the terahertz (THz) region Dominik Vogt, PhD candidate, Dr Jessienta Anthony, Research Fellow, Assoc Prof Rainer Leonhardt, Dodd-Walls Centre for Photonic and Quantum Technologies, Department of Physics. Home • Archive...
Finite element method code for modelling biological cells
Finite element method code for modelling biological cells Dr John Rugis, Department of Mathematics, Dr Chris Scott, NeSI, Professor James Sneyd, Department of Mathematics, University of Auckland Home • Archive for "Department of Mathematics" Background...
The future of memory: Neuroimaging memory and imagination with functional MRI
The future of memory: Neuroimaging memory and imagination with functional MRI Professor Donna Rose Addis, School of Psychology, Faculty of Science; Associate Director, Centre for Brain Research, University of Auckland Home • Archive for "Research Data"...
Modelling and visualisation of calcium waves in parotid acinar cells
Modelling and visualisation of calcium waves in parotid acinar cells Professor James Sneyd and Dr John Rugis, Department of Mathematics, University of Auckland Home • Archive for "Data Visualisation" Background The primary role of salivary gland acinar...
Centre for eResearch machine learning service
There has been significant growth in interest around machine learning and its applications to research. This has largely been driven by advances in algorithms, particularly in neural networks where the use of Graphics Processing Units (GPUs) has reduced the time to train complex or ‘deep’ neural networks by orders of magnitude. With the rise of ‘big data’, researchers are increasingly finding opportunities to apply these methods to deliver new insights.