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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
employer with staff 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
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sustaining a distinguished and high-impact research program that is original, innovative and internationally recognised Achieving and sustaining national and international research excellence Providing
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an opportunity to develop a strong research profile and gain national recognition in the field. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and
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high-impact research program Achieving and sustaining national and international research excellence Providing strategic research leadership Driving major research funding initiatives Building research
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to research training. Responsibilities will include: Leading an innovative and impactful research program Strengthening national profile and emerging global presence Pursuing and managing external research
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responders and operational risk assessment regarding skin decontamination and will build on a program of work focused on dermal exposure to chemicals. To be successful you will need: Completion of a PhD in
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, preferably gas fermentation. Key responsibilities will include: Research: Contribute to an established research program in gas fermentation, collaborate on research projects, seek and manage research funding
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or nearly completed PhD graduate with experience in protein biochemistry to join the Herbicide and Antimicrobial Innovation Laboratory led by ARC Future Fellow Dr Tatiana Soares da Costa. Working
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two referees), a statement of research interests and achievements. Selection Criteria: A PhD in analytical biochemistry, biosensors, nanobiotechnology or equivalent qualifications; Ability to undertake
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area of expertise. You may be a great fit if: You are a passionate researcher with a PhD in Computer Science or a related field, experienced in machine learning for spatial data management, with a track