424 web-programmer-developer-"U"-"Washington-University-in-St" positions at Monash University in Australia
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resources to avoid downtime, adjusting dynamically as traffic fluctuates. For researchers and students, this component focuses on developing ML models to predict resource needs, improving load distribution
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with real-world application to pressing health challenges. In this role, you will: Develop new statistical methodology to support adaptive variants of cluster randomised trials Write R or Stata code
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stakeholders ensuring activities are followed in accordance with OH&S rules and regulations. Develop and maintain effective working relationships with colleagues, clients and other stakeholders to support and
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, climate and sea level, develop key modelling technologies for ice sheet research and significantly contribute to Australian climate research. We encourage applications from candidates with strong
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are secure, scalable, and strategically aligned lead a high-performing team, fostering a culture of excellence, adaptability, and continuous development. nurturing internal capabilities, attracting top talent
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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and safety of perioperative care. Human Factors is a developing area within the department, and our priorities are: Raising awareness and knowledge of Human Factors through educational activities and
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of achieving this purpose is the diversity of our staff. We welcome and value everyone's contributions, lived experience and expertise. When you come to work, you can be yourself, be a change-maker and develop
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. This does not include food expenses) Participate in the Faculty Indigenous Vertical Peer Program. Accommodation over the summer months in Monash Residential Services may be available, but you must notify MRS
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learning is vulnerable to spurious correlations, novel causal discovery and inference methods will be developed to identify and reason over causal relationships among all associations from fused data. As the