22 designer-"https:"-"https:"-"https:"-"https:" "https:" Fellowship positions at Monash University
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Research Fellow - Analog/RF IC Design for Portable Radar System Job No.: 691720 Location: Clayton campus Employment Type: Full-time Duration: 2 Years fixed-term appointment Remuneration: $83,280
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successful candidate you will work with a team on Redesigning Digital Justice, an ARC Discovery Project on improving the design methods and technologies used in online hearings. The project brings together
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Responsibilities Drive High-Impact Research: Design and execute experimental and empirical research, publishing top-tier papers in leading conferences and journals. Advance Secure AI Systems: Investigate safety
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shotgun metagenomic sequencing and other -omics datasets from laboratory and clinical research studies. Key activities include establishing reproducible computational workflows, contributing to study design
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machine learning can be used to understand complex behaviours such as reliability, competence, transparency and trust. The position will design and develop innovative reasoning algorithms and knowledge
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exciting opportunity exists to get involved in high-impact research in evolutionary physiology at the School of Biological Sciences alongside world-class researchers. You will have the opportunity to design
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patients, you will contribute to the design and delivery of clinical research that directly impacts real-world care. This role is ideally suited to an early career researcher or health sciences graduate with
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Indigenous knowledges, methodologies and culturally informed approaches throughout all stages of the research process. In this role, you will design and deliver high-quality research, engage collaboratively
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with older people Discover ideas through co-design research and health innovation The Opportunity The School of Nursing and Midwifery has an exciting opportunity for a Research Fellow to contribute
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spectroscopy and electrical measurements. Desirable Edge: High-throughput experimentation, laboratory automation, programming, robotics, machine learning, or autonomous experimental design experience will be