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are seeking a Research Fellow to contribute to a project funded by the Australia Economic Accelerator (AEA) Ignite program, focusing on the design and integration of a novel point-of-care diagnostic platform
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support across multiple programs of work. You will be responsible for designing and conducting surveys, leading systematic reviews, and producing high-quality research proposals, reports, and peer-reviewed
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using programming languages such as Python or R. Communication and Organisational Skills: Excellent problem-solving skills, with the ability to plan, prioritise, and manage multiple tasks efficiently
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research and teaching. It offers world class undergraduate psychology degrees, as well as postgraduate professional Masters training in Clinical and Forensic Psychology, an online Graduate Diploma program
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
researcher could build hundreds or thousands of strains in parallel using our robotic platforms. The Australian Genome Foundry is capable of synthesizing complete eukaryotic chromosomes and consists
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parallel using our robotic platforms. The Australian Genome Foundry is capable of synthesizing complete eukaryotic chromosomes and consists of modular robotic platforms capable of automated construction and
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Health At the College of Medicine and Public Health, we deliver clinical, population and lab-based research, integrated teaching programs and high-quality clinical services. Our footprint reaches out from
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to the principles of equity, diversity and inclusion. Desirable characteristics: Experience of handling large sets of samples from multiple collaborators. Experience with HPAEC-PAD, mass spectrometry and HPLC systems
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Australian National University | Canberra, Australian Capital Territory | Australia | about 4 hours ago
government About the opportunity We invite applications for multiple Postdoctoral / Research Fellow positions to contribute to a range of exciting projects in artificial intelligence (AI), machine learning (ML
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vulnerabilities in lung cancer.” This work forms a critical part of the next phase of the project, which is now entering a high-intensity stage involving collaboration across multiple institutions. The Person We