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research and engaging in scholarly activity, with a developing research profile in your discipline or area of expertise. Demonstrated ability to build and maintain networks with academic, industry, and
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stakeholders to understand real-world problems and applying research techniques to develop solutions Working with a team of software engineers, multidisciplinary researchers and external stakeholders Contribute
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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
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protein-coupled receptors (GPCRs). Key responsibilities include: Conducting research aligned with defined project objectives Applying, analysing and interpreting pharmacological assays (e.g., ligand binding
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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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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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characterisation of G protein-coupled receptors (GPCRs). Key responsibilities include: Conducting research aligned with defined project objectives Applying biochemical, biophysical and structural techniques (e.g
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Environmental Science, Physics, Mathematical Sciences, Geospatial Sciences and Computer Science (Information Technology and Software Engineering). One of RMIT's top-performing research schools, we deliver
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College of Science and Medicine conduct research and deliver a research-led education program that encompasses the entire breadth of the sciences, supported by extensive international networks and by world
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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