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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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Ecosystem Research Network (TERN) is the national observatory for Australian ecosystems, delivering data streams that enable environmental research and management. TERN’s infrastructure is designed to examine
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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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individual to work on an exciting modelling and simulation project, involving extensively applied work at the intersection of software engineering research and modelling and simulation, with real-world testing
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intelligence, cyber security, human centered computing, enterprise systems, software systems, and computer science education. The team is committed to promote high-quality research activities in these areas
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experienced Postdoctoral Research Fellow B to undertake research in the field of physics-informed neural networks for magnetic sensing. This project combines the strengths of industry and academia to leverage
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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
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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
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quantitative methodologies, especially for instance in the areas of econometrics (microeconometrics), statistics, and economic modelling. Demonstrated knowledge of statistical and econometrics software packages