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a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals, utilize best practice research methodologies, and participate in project
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degree, as well as a postgraduate PhD research program for over 50 students. 33 academic staff conduct theoretical and experimental research in quantum physics, astrophysics, fundamental physics; and
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project, within our established research program in applied AI. You will work on shaping, developing, and evaluating a cutting-edge AI platform that enhances clinical decision-making. The research will be
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: Essential criteria A doctorate (or will shortly satisfy the requirements of a PhD). The doctorate must be in a relevant discipline area, such as statistical machine learning, computational and quantitative
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biology with an extensive background in genomics Extensive skills in bioinformatics analysis including tools for displaying genomic features in web applications and experience in high performance computing
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and computational tools such as cryoSPARC and RELION About Monash University At Monash, you will work in an inclusive, globally connected research environment with access to world-class facilities
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, interpretation and reporting (publications and presentations) develop new research ideas with the team apply for research funding to support the program manage complex and varied reporting requirements build and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds and identities and from individuals
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conditions set forth by your Visa. Your proposed research program must closely align with at least one of the Macquarie University Strategic Research Initiatives. Please see the Funding Guidelines in
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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