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to conduct innovative research. The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry. Demonstrated ability to formulate hypothesis and design effective
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
, including of heavy industry in Australia, working collaboratively with other researchers. Methods are broadly in the field of social sciences, including economics, market modelling and public policy analysis
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industry stakeholders and will be responsible for research on distributed query processing and information retrieval for text and RDF files. Experience in Linked Data and Semantic Web technologies is
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. The candidate will collaborate with an international team consisting of clinicians, researchers in science and technology and health, industry partners, as well as personnel responsible for ICT, data security
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using additive manufacturing techniques (e.g., 3D printing). Characterize structural and functional properties using SEM, XRD, Raman, XPS, UV-vis-IR, mechanical/electrical testing, and more. Collaborate
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, you will contribute to our industry project focusing on scaling up our electro-metallurgical battery recycling technologies from lab to pilot scale. We are seeking a talented and experienced individual
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to confidently and effectively work with colleagues, project team leaders, and industry partners. Demonstrated ability to meet deadlines and effectively manage varying workloads and respond to changing priorities
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science and technology, health, industry partners, as well as personnel responsible for ICT, data security, privacy concerns and more. Working environment: The Health Data Lab (HDL) is a research group at
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from the traditional chemicals industry to pharmaceuticals and personal care products. About this Modelling Role This post-doctoral role seeks to advance the systems modelling methods of microbial cells
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notifications June 1 - September 1, 2026: Fellowships start Program Details and Benefits Eligibility Requirements Applicants must have received their Ph.D. in a field relevant to the proposed research by