30 computer-science-programming-languages-"CNPEM" Fellowship positions in New Zealand
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Postdoctoral Fellow - Software Engineering-2500780 __________ POSTDOCTORAL FELLOW IN SOFTWARE ENGINEERING SCHOOL OF COMPUTING UNIVERSITY OF OTAGO About our team/ Mō te tīma Otago’s School
-
Te Kura Pūtaiao Koiora | School of Biological Sciences Located in Ōtautahi | Christchurch, Aotearoa | New Zealand Full-time 37.5 hours per week (1.0 FTE) Fixed term position until 31 April 2027 Āu
-
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
-
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
-
the University of Konstanz staff members or external trainers (e.g. open access, good practice in academic writing, career perspectives, funding opportunities, but also sight visits and other encounters) Programme
-
substantive time at the Riddet Institute at our Manawatū campus to ensure interaction with the Riddet Institute’s research community. The project will contribute to Fonterra’s Complementary Nutrition Programme
-
- Pathway Programme are now open. Applications close on Wednesday 13 August. Closing 11 July 2025 A $5,000 Award to support a Māori law student who is the first member of their whānau tonu (immediate family
-
. Furthermore, our association with the broader university opens doors to other exceptional research and computational facilities, enhancing the depth of exploration. The School of Physical and Chemical Sciences
-
include: • Interacting with Programme leaders, staff, and students to develop and advance technologies and protocols to support Cellular Agriculture. • Planning and executing experiments to meet the
-
thinker and future thought leader with: A PhD in Earth Sciences (preferably volcanology) or Statistics. Previous experience and interest in probabilistic and/or computational hazard modelling. Proficiency