459 web-programmer-developer-"https:"-"UCL"-"U"-"https:"-"https:"-"https:" positions at Monash University
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spectroscopy" "Chemical abundances in star clusters using Korg, the first spectral synthesis code developed in two decades" web page For further details or alternative project arrangements, please contact
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this role, you will prepare and resource practical sessions, offer technical guidance to staff and students, and maintain accurate inventories and ensure adherence to equipment standards. You will also
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innovative journalism scholarship and education, advancing critical inquiry and creative engagement with global, technological, and societal change. In this role, you will prepare and deliver lectures
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the Universe, e.g., where did the carbon in your bodies come from? What type of star made it? Generally we study stars in their final phases of evolution, when they become ageing red giants which is when
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model with each SNP independently, perhaps adjusting for other covariates such as age and sex. This project will focus on developing and applying novel machine learning and AI methods to improve
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, and their decisions can be confusing due to brittleness, there is a critical need to understand their behaviour, analyse the (potential) failures of the models (or the data used to train them), debug
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at prediction and pattern recognition tasks but still fails at very simple planning and decision-making problems. This project will develop predictive and prescriptive analytics algorithms that combine
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catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon our groundbreaking research into the problem. Required knowledge A solid grounding in machine learning
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-term appointment Remuneration: The successful applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per the Monash Research Training Program (RTP
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include: the evaluation of an existing health prevention program, the development of a measurement tool for health inequalities, behavioural experiments to assess how preventative interventions can improve