21 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "Dr" "Dr" "UCL" research jobs in New Zealand
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this role, you will require: A PhD degree in the field of transportation engineering, applied mathematics, operation research, computer science, or a closely related field (or close to obtaining one) / or a
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working on a project funded by the Royal Society of New Zealand Marsden Fund, entitled "Ngā Rōpū Kupu o Te Reo Māori / The Word Categories of Te Reo Māori." The research team comprises Dr Forrest Panther
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) Country New Zealand Application Deadline 31 Mar 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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physics or a related discipline, with demonstrated strengths in theory and computation. Successful candidates will be highly motivated and have excellent interpersonal communication skills. Further details
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their communities, empowered to act for good and determined to make a difference in the world. What we Offer We offer a range of benefits. For more information, please visit us: https://www.canterbury.ac.nz/joinus
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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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and safety. You will work closely with Dr Jessica Fairhall and Associate Professor Allan Gamble, alongside an interdisciplinary team of collaborators from the School of Pharmacy and the Department
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open up international prospects for their future career. The programme offers a two-year research position at one of the three universities, preferred by the applicant, and local disciplinary cooperation
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treatment. Responsibilities include delivering a structured Prolonged Exposure (PE) therapy programme, assisting with patient screening and recruitment for clinical trials, managing research data, and
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This postdoctoral research role supports the MBIE-funded programme Predicting the Unseen, focused on developing innovative methods for accurate yield estimation in viticulture. Based in the Centre for Viticulture and