292 algorithm-development-"The-University-of-Edinburgh" Fellowship positions in Australia
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for development of a new class of hybrid polyphenol-lipid nanoparticles with tuneable internal structure and exploration of their behaviour in biological environments. This role is part of an ARC funded Discovery
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studies. Manage technical assistance to sample and analysis field trials. Develop trait predictions for high throughput phenotyping analysis. Produces quality research outputs consistent with discipline
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advancing the development and application of EarthBank—a national digital platform transforming how geochemical data is collected, curated, and used across research, government, and industry. We are seeking a
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approaches for development of a new class of hybrid polyphenol-lipid nanoparticles with tuneable internal structure and exploration of their behaviour in biological environments. This role is part of an ARC
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, peer-reviewed research outputs. You’ll develop and maintain strong working relationships with our clinical and research partners and other stakeholders to facilitate the delivery of current projects and
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who holds the following: A PhD in a biomedical, health, or related discipline, supported by extensive professional experience across academic research, scientific writing, grant development, and
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: Research: Conduct high-quality research in line with discipline standards, publish in reputable outlets, pursue competitive funding, and contribute to knowledge translation and commercialisation. Develop a
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and international academic researchers, research assistant(s) and research students to develop a unified computational model of how humans use automated advice. Undertake independent and collaborative
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engineering. Be part of ARMI’s mission to address the unanswered questions with a multi-centre, cross disciplinary and highly focused approach, for the development of innovative clinical protocols as
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-first project is investigating the emotions and coping strategies of patients during an in vitro fertilisation (IVF) treatment cycle. We will use this information to develop a digital intervention to