9 software-defined-networking Fellowship positions at University of Adelaide in Australia
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fundamental and demand-driven research on modelling and analysis of complex social networks. This line of research is broadly focused on modelling, analysis and estimation of complex network models in
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sciences, and/or software development. Effective communication skills, including the ability to present research findings to both technical and non-technical audiences and engage in stakeholder or end-user
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to an exciting research project on social network analysis and online influence. This position will collaborate with industry partners and academics within the Adelaide Data Science Centre. To be successful you
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Canada, the USA, the UK, or New Zealand. Proficiency in Python, MATLAB, or C++, and demonstrated experience in deep neural networks and mathematical optimisation, are essential. A commitment to equity
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AIML’s expertise in machine learning research and translation with strengths in Software Engineering for AI (SE4AI) in CSIRO’s Data61. It is positioned to address fundamental responsible Al problems at a
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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
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other software's packages. Ability to maintain a day-to-day meeting routine with the group leader to update on the progresses made in the development of these software tools. To be successful at Level B
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Biochemistry Demonstrated expertise in developing 3D protein structure models, protein-ligand docking and bioinformatics Demonstrated experience using protein visualisation software (e.g., PyMol) Demonstrated
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. The successful candidate would work with an international network of researchers from the University of Adelaide, University of Tasmania, University of Melbourne, University of Copenhagen and the Norwegian