16 parallel-and-distributed-computing-phd-"Meta" "Meta" Fellowship positions in New Zealand
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doctoral degree (e.g. Doctor of Medicine, PhD, or equivalent) in a relevant discipline, such as epidemiology. • Experience with systematic review and meta-analysis. • Quantitative data analysis skills
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tūka | The role Join a collaborative, multi-institutional research team investigating how fungal molecules influence plant interactions. This role supports an MBIE-funded programme focused on sustainable
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Science, Information Science, Software Engineering, Data Science and Business Analytics. At the postgraduate level, we offer research master’s and PhD opportunities – including specialist taught masters in Artificial
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Fixed term two-year contract Full-time 1.0 FTE Based at AUT's City Campus, Auckland CBD The Future Fibres Laboratory at the School of Engineering, Computer and Mathematical Sciences at Auckland
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preparation of high impact peer-reviewed publications, as well as grant and project proposals. Kā pūkeka me kā wheako/Skills and experience Successful candidates will have: • A PhD degree in engineering
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Protected Area. Mōu | Who You Are You will have completed a PhD in Population Genetics or Evolution, or a closely related subject. You will have excellent communication skills and written English, the ability
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(1.0 FTE) at our Lincoln Campus. Salary is fixed at $75,000 per annum. Kā tino Pūkeka/Whēako | Essential skills/experience for the role You will have: A PhD in Plant Physiology, Viticulture, Plant
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LT0004/2025-L (Human Frontier Science Program)", on plant ümvelt (sensing, detecting and decision-making) in multitrophic interactions. The fellowship is externally-funded for three years and will also
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project funded under the Marsden Scheme "Multiferroic solitons at room temperature: A new topological material system for low energy computation," we have an exciting opportunity for a Postdoctoral Fellow
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have a PhD in Physics or Astronomy with a strong research background in: Observational astrophysics with neutrino and/or gamma-ray telescopes Statistical methods and data analysis. Computer programming