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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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in delivering the compilations of sea ice observational data. This will involve working closely with Dr Smith and international collaborators from the SYNCHRONY project. Your skills and experience | Kā
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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
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. • Managing governance, ethics, and regulatory documentation. • Coordinating participant recruitment, screening, scheduling, and retention activities. • Developing and managing study data collection
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-scale inverse problems by combining interpretable high-level probabilistic models, multi-physics data integration, and modern machine learning. The resulting methods will be validated on groundwater
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of staff with diverse backgrounds, experiences, skills and perspectives are valued and respected. For further information regarding the role, please contact Professor Jane Girling via the contact details
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, 29 June 2026, 11:59PM NZST. Additional Information Contact: Professor Maebh Long Position details: Information Statement Guidelines for Academic Positions: Guidelines Further Information: Department