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for a National Intelligence Discovery Grant (NIDG) project, in collaboration with researchers in the School of Computer Science and Electrical Engineering who are focusing on antenna design. It is
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people who discover them The Opportunity The Research Fellow will be a motivated and talented computational scientist and a key member of Monash University ice sheet modelling research team and SAEF’s
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contributes to the education of the next generation of doctors through the UNSW Doctor of Medicine program, conducts primary and integrated care research, contributes to postgraduate teaching, supervises ILP
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: We are looking for researchers with a strong technical background and a passion for space exploration and autonomous systems. Key attributes include: a PhD in Mechatronics, Computer Science or a
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their potential for antibiotic production. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable
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Apply now Job no:534636 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate The Opportunity The School of Photovoltaic and Renewable Energy Engineering (SPREE) has an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in...
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to contribute to student supervision and research development, as well as service and engagement roles and activities. Key responsibilities will include: Research: Contribute to and develop a research program
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translation, including commercialisation of UQ intellectual property. Develop a coherent research program and an emerging research profile. Supervision and Researcher Development: Contribute to supervision
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working across numerous professions (see the full list of available roles here . We are a recipient of the bronze award through the Science in Australia Gender Equity (SAGE) program and a platinum member of
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. The successful candidate will develop computational tools for analysing gene expression (single cell, spatial) and metabolomic data in the context of cancer including melanoma and pancreatic cancer. You will lead