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knockdown and knockout approaches, and conducting experiments in cell culture and mouse models. You will work under limited supervision as part of a collaborative research team, contribute to high quality
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Development and training of AI/machine learning models Real-time validation of algorithms to ensure reliable physiological monitoring under real-world conditions The role offers the opportunity to contribute
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employee experience in alignment with Monash’s strategic plan, Impact 2030. With a high degree of autonomy and influence, you will: Lead and evolve the HR Business Partnering model to deliver strategic
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contribute to innovative, interdisciplinary education models that address workforce shortages, strengthen work‑integrated learning, and improve health outcomes, particularly in regional and community settings
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weighted sum of the risks from tens to millions of independent disease-associated SNPs from across the genome. The conventional, or gold-standard, approach to analysis of GWAS data is to fit a regression
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at the Melbourne Centre for Nanofabrication (MCN). This role offers a unique opportunity to work on pioneering platforms that are transforming how we model human physiology and accelerate therapeutic discovery. In
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collaboratively in a research environment, communicate clearly, and are motivated to contribute to both scientific discovery and the smooth operation of a research laboratory. Experience with mouse models, flow
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prompts Develop predictive models for sepsis, deterioration and ICU outcomes Create reproducible analysis frameworks using R/Python, GitHub, Quarto or R Markdown Produce real-time dashboards for ICU
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cell biology, molecular biology and biochemical techniques Working with haematological cancer cell lines and supporting in vivo mouse models Collecting, analysing and documenting research data and
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Research Fellow - Transport Modelling Job No.: 688348 Location: 533 St Kilda Road, Melbourne Employment Type: Full-time (negotiable) Duration: 12 month fixed-term appointment Remuneration:$118,974