66 assistant-professor-computer-science-data-"St"-"St" Postgraduate positions in New Zealand
Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
in mathematics, statistics, computing or biology. Applicants with a strong quantitative (particularly applied statistics) or computer programming background, combined with marine biology will be
-
Seek Environmental Research Assistant Three year fixed-term role supporting vital soil research through data analysis, academic support, and project coordination in a collaborative science team. Mō te
-
bring the following: Completion of a BSLA Micro credential. Strong academic ability, with clear written and oral communication skills. A high level of computer literacy and confidence with online
-
Home Study Scholarships Search Scholarships Gordon Williams Postgraduate Scholarship in Ecological Sciences Gordon Williams Postgraduate Scholarship in Ecological Sciences For a student undertaking
-
. For more information and to apply visit Chevening Scholarships . The Programme is scheduled over two academic years and will be taught in English. Erasmus Mundus Joint Masters (EMJM) scholarships
-
You are using an outdated browser. Please upgrade your browser to improve your experience. We use cookies to help us understand how you use our website so we can improve your experience. Visit our
-
About the scholarship Application status: No application required Applicable study: BCom(Hons) entering into MCom (Economics) programme Opening date: By nomination Closing date: By nomination
-
About the scholarship Application status: Not currently open for applications Applicable study: Māori and Pacific students enrolling in a postgraduate programme at the University of Auckland Opening
-
developing future capability within the seed industry and so continue to fund these scholarships. The name changed to AsureQuality Seed Technology Scholarship to mark this change Who we're looking for We're
-
techniques, and assist in coding the Hill estimator for tail risk estimation. Skills gained This project, therefore, offers training at the intersection of finance, data science, and computational methods