44 gis-python-"NTNU---Norwegian-University-of-Science-and-Technology" Fellowship positions in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Monash University
- University of Adelaide
- Curtin University
- The University of Queensland
- University of New South Wales
- RMIT University
- James Cook University
- CSIRO
- Central Queensland University
- La Trobe University
- Queensland University of Technology
- RMIT UNIVERSITY
- UNIVERSITY OF ADELAIDE
- University of South Australia
- University of Sydney
- University of Tasmania
- 6 more »
- « less
-
Field
-
processing environmental exposure and health administration data via Application Programming Interfaces (APIs) proficiency using statistical programming software such as R, SAS, STATA and Python; and GIS
-
classification. Strong background in experimental design, statistical sampling and analysis in field settings. Skilled in GNSS‑based geolocation, GIS software (e.g. QGIS, ArcGIS) and programming (Python, R
-
communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is desirable Knowledge and interest in wine is desirable Applying: Expression of
-
experience working both independently and collaboratively in interdisciplinary teams. Your excellent communication skills and programming proficiency (e.g., Python, MATLAB, R) support your ability to lead or
-
to molecular data. Strong knowledge of quantum, medicinal chemistry principles and chemical representations; familiarity with physics-informed ML and drug discovery is necessary. Proficiency in Python and deep
-
experience in python, C++ or other relevant language and experience in deep neural networks Strong mathematical capability, especially for Theme 1, with applicants holding an undergraduate or postgraduate
-
experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals
-
PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
-
large-scale distributed computing systems (e.g. Edge, IoT), evidenced by involvement in several industry projects. Technical Experience: Exposure to Go, Python, Java or equivalent. Experience with
-
support systems. To be successful for this position, you’ll have: Demonstrated experience in the application of LLM. Demonstrated experience in programming in Python. Ability to learn new technology and new