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funded Discovery project in collaboration with the University of Melbourne and Olivia Newton John Cancer Research Centre, providing a great opportunity to translate your computational results to practical
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic
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Sciences, Geospatial Sciences and Computer Science (Information Technology and Software Engineering). One of RMIT's top-performing research schools, we deliver research that addresses the 'real life
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Salary packaging options Staff study assistance & paid study leave Fitness Passport & health insurance discounts Free Employee Assistance Program (coaching & counselling) Ongoing professional development
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
looking for a motivated researcher with a PhD (or near completion) in fungal genomics or a related field, proven research output, and strong computational skills (Linux, Python, R, HPC). You’ll bring
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
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childcare facilities Discounted health insurance (Medibank) Onsite vacation care Employee Assistance Program Subsidised membership at the Sport & Aquatic Centre Onsite GP, imaging & physio clinics If you're
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research outputs in high quality outlets, participate in research funding applications, collaborate on joint research projects, contribute to transfer of knowledge, develop a research program, and utilise
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responsibilities will include, but are not limited to: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals, utilize best practice
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Role Working under the broad direction of the Chief Investigator, the Research Fellow will contribute to a research program focused on proteomic analysis and functional studies of human autoantibodies in