65 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Canterbury
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Te Tari Pūhanga Pūmanawa Rorohiko | Department of Computer Science and Software Engineering Te Kaupeka Pūhanga | Faculty of Engineering Located in Ōtautahi | Christchurch, Aotearoa | New Zealand
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Programme Supervisor, you'll be implementing and administering our planned maintenance programme within our Integrated Work Management System (Planon). You'll work with our subject matter experts to create
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Te Tari Pūhanga Pūmanawa Rorohiko | Department of Computer Science and Software Engineering Located in Ōtautahi | Christchurch, Aotearoa | New Zealand Full-time 37.5 hours per week (1.0 FTE
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Department of Electrical and Computer Engineering | Te Tari Pūhanga Hangarau Located in Christchurch | Ōtautahi New Zealand | Aotearoa Full-time 37.5 hours per week (1.0 FTE) Continuing (permanent
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. Advanced mathematical knowledge in linear algebra and calculus. Expertise in numerical methods for solving large-scale power system equations. Programming proficiency in C, C++, or Fortran (Python or MATLAB
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principles to ensure integration reliability and resolve communication issues between systems. Participate in release planning and coordination for Tuihono UC features delivered in parallel with Student
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Mahi | What You Will Do Our Microgravity Research team is offering an exciting opportunity for a Postdoctoral Fellow to contribute to our MBIE-funded research programme developing protein crystallisation
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internationally recognised and impactful research programme that contributes to the School's reputation, aligns with the University's strategic goals, and attracts external funding. A record of postgraduate
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) on a specific project within the wider research programme in the GeoHealth Laboratory, detailing the data and methods you propose to use, with justification. A CV / resume which includes a list of
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experience in, delivering effective teaching methods that enable a wide range of learners to succeed. Evidence of the development of a research portfolio. Evidence of reflective learning and continuous