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dependence phenomena for rough scatterers.” This project works lies in the pure/applied mathematics interface and aims to quantify the dependence of scattering properties on energy using semiclassical analysis
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Professional Programmes, the School is committed to advancing knowledge and improving health outcomes through high-quality, impactful research. Research and knowledge transfer are key elements of the School's
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astronomical nitriles. • Performing data analysis including vibrational spectroscopy, mass spectrometry, X-ray and neutron diffraction crystallography. Perform supporting computations such as DFT calculations
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expected to contribute to data analysis, preparation of reports and manuscripts, programme milestone deliverables, general laboratory activities, and supervision of postgraduate and undergraduate researchers
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pūkeka me kā wheako • A PhD in molecular biology or a related discipline. • Experience in microbiology, proteomics, bacterial genetics and analysis of large datasets is highly desired. • Organised
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. The following would be advantageous: • Experience in public health or environmental research. • Quantitative analysis and/or data visualisation skills. • Science communication experience. • Knowledge
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), organisational, and interpersonal skills. • Experience in all routine molecular genetic techniques, with knowledge of next generation sequencing, transcriptomics and gene expression analysis essential