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contribution of 17% superannuation applies. Fixed term position for 24 Months. Postdoc opportunity - Open for Applications Until Filled. We are seeking a dynamic and motivated Postdoctoral Fellow in Ecological
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, social network analysis. Experience developing software prototypes using python, JavaScript/node.js, modern reactive web frameworks, visualisation technologies (e.g. SVG, D3.js). Experience designing
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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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. Following design standards and principles, to determine the specification, design and benchmarking/testing of software, components, interfaces, and related characteristics. To develop and iterate prototypes
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an employer contribution of 17% superannuation. 24 Months Fixed-term contract | Part-time or Full-time opportunity. The Australian Plant Phenomics Network (APPN) was established in 2009 under the Australian
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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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and MALDI/ESI, and lignin composition using TDA/GCMS. The postdoc will work closely with teams developing engineered plants to develop a deeper understanding of cell wall architecture. This is expected
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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 underrepresented groups. The role offers the chance to build academic and industry networks, supervise students and apply for competitive research funding in a supportive and forward-thinking
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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