59 parallel-and-distributed-computing-"Meta"-"Meta" positions at University of Canterbury
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, PCRs, and quantification at a minimum, advanced library preparation and troubleshooting skills preferred. Computational Skills: Ability to run analysis packages in a high performance or unix environment
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these fields A demonstrated ability to mentor and lead academic colleagues, ensuring programme relevance and innovation Proven experience supervising postgraduate research students to completion in both health
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. Advanced computer literacy, including Microsoft Office suite. In-depth knowledge of administrative systems and procedures. Strong financial acumen and experience managing budgets and reports. Experience
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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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, the University of Canterbury's student success programme. In addition to upholding UC's values, they will also have the following skills and experiences: knowledge of the tertiary education environment, academic
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teams. The successful candidate will be expected to establish an externally funded research programme, for which there are a variety of basic and applied contexts in Aotearoa New Zealand. They 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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School of Creative and Digital Arts - Digital Screen Located in Ōtautahi | Christchurch, Aotearoa | New Zealand Full-time 37.5 hours per week (1.0 FTE) Continuing (permanent) position Generous annual leave provisions and professional development opportunities Kia hiwa rā, kia hiwa rā! He hiahia,...
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instrumentation or in Indigenous astronomy. People from historically marginalized communities are particularly encouraged to apply. You should propose a programme of research you wish to carry out at UC which
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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