429 computer-science-intern "https:" "https:" "https:" "https:" "P" research jobs in Australia
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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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vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family Career development opportunities –access to exclusive internal-only vacancies and our
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Full time, fixed term opportunity for two years, located at the School of Chemistry, Camperdown Campus Sydney Opportunity to drive a high-impact research program using catalytic air-gap
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· engage with internal and external key stakeholders such as healthcare services, government bodies, technology vendors, and research partners · apply and maintain working knowledge of health
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable
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believe everyone has the right to good health. As the oldest and largest health management program in Australia, our School is a pioneer in public health, global health, infectious diseases intelligence
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stakeholder engagement. About you a PhD (or nearing completion) in Science, Computer Science, Health Informatics, or a related field a developing research profile, with publications in genetics and/or
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Full time 20 month fixed opportunity. Located in the Civil Engineering Building on the Camperdown Campus Advance sustainable mining through granular material mechanics Base Salary Level A Step 6 - 8
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(ARCCS), a world-first centre at UNSW dedicated to improving outcomes and quality of life for people living with and beyond cancer. The appointee will develop an independent, high-impact research program
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bioinformatics and computational biology, including the handling of large-scale genomic datasets. Expertise in the evaluation of novel predictive genomics methods, and experience with whole genome assembly