Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
languages (e.g., Julia, Matlab, C#, C++) Familiarity with the applications and theory of environmental genomics Qualifications: A PhD in quantitative ecology, quantitative conservation biology, applied
-
equations, and numerical methods. Advanced programming skills in languages such as Python, C++, MATLAB, or R. Strong academic curiosity and enthusiasm for the chosen research area. Application Process To
-
Learning-related field. Programming experience in Matlab, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in deep learning, transformer
-
Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in
-
implement machine learning algorithms for complex data analysis. Utilise advanced programming skills (Python, MATLAB, C) and image processing libraries to develop computational solutions. Publish research
-
of Adelaide. Candidates should have experience with numerical methods and programming in Python/Matlab and be prepared to work with research volunteers. Eligibility: We welcome applications domestic applicants