378 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" "U.S" research jobs in Australia
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. Demonstrated computer skills, ie. MS office suite including spreadsheets. Experience/knowledge of qualitative research methods. Experience/knowledge of basic data science database programs, statistical software
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, sensing, and computing within a single unified network. These positions will involve advancing fundamental theories and the enabling technologies needed for simultaneous communication, sensing, computing
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facility in Mickleham, Victoria. You will work closely with DAFF plant pathologists and CSIRO experts in microRNA research and bioinformatics, as part of CSIRO’s structured early‑career development program
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as required. Undertake routine supervised research support tasks consistent with established methodologies Cooperate with all health & safety policies and procedures of the university and take all
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& safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the psychosocial or physical health and safety of yourself or others
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underpinning a new national screening program for type 1 diabetes in children Academic Level A from Base from $89,831p. a (Pro Rata) and Level B Base Salary from $127,436 p.a. (pro‑rata) + 17% superannuation
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peripherals Cooperate with all health & safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the psychosocial or physical
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national and international projects. About the opportunity Lead project field data science related to quantifying water security and biodiversity. Deliver outreach and adoption that translate research onto
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data centre loads influence the safe, secure and reliable operation of the electricity grid. You will develop advanced modelling capability for data centre energy demand and support grid power flow
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and AI/ML. In this role, you will advance innovative research that apply AI/ML to develop methods and tools to improve crop performance and resilience, contributing to solutions for global food security