298 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in New Zealand
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with machine-learning–enhanced statistical inference. This position is based at the University of Otago in Dunedin and will be managed/supervised by Dr Fabien Montiel. The postdoctoral fellow will lead
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About the scholarship Application status: No application required Applicable study: Practical creative undergraduate degree (see Note II) Opening date: Closing date: No application required Tenure: Up to three years For: Assistance with study Number on offer: One Offer rate: Annually Value: Up...
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tertiary qualification in a computer-related field (or relevant business-related qualification). 7+ years’ experience in identity and access management, security architecture, or related infrastructure
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and cultural backgrounds. During their stay, Senior Fellows are free to pursue their research project at the Zukunftskolleg without any obligation to teach or to participate in the boards or committees
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study in mathematics, statistics, machine learning, or science that will establish eligibility for PhD study. Applications close on 28 November each year. For more information and to apply visit
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ASM within this team you will be required to teach in the classroom and tutor students; research, review, and update resources and classroom materials; set and mark assessments and enter results; assist
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software engineer to join our Development Services team in Dunedin. Utilise your strong foundation in computer or information science, passion for software development, and an eagerness to learn and grow
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balance Free on-site car parking A modernised working environment Subsidised school holiday programmes for your children Free fitness classes Great coffee at our on-site café Ngā pūkenga mo te tūnga | What
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this role, you will work closely with researchers and students to support experimental research in nonlinear and quantum optics. Key tasks will include: • Machine ownership of production facilities
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an ambitious Digital Strategy to transform experiences for students, staff, and researchers. At the heart of this change is our Digital Services Division, delivering enterprise-scale technology, modern learning