57 affective-computing-"https:"-"https:"-"https:"-"CEA-IBS" PhD positions at Monash University in Australia
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have the opportunity to make an impact and solve real world issues in a stimulating, supportive environment with access to cutting edge facilities. The Opportunity Expressions of interest are sought from
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for Health Economics are supported to pursue research with real-world impact . Integrated PhD Program entry requirements and scholarship eligibility Applicants to enter the 4.5-year Health Economics PhD
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to apply for a PhD to undertake research enhancing adaptive platform trial (APT) design to improve efficiencies in research generation and accelerate the impact of research on health outcomes. The PhD
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aims to understand the supply-side drivers of patient fees for mental health services and their impact on socioeconomic inequities in access to care. It will use econometric methods and population-wide
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). This grant will fund the PAtient-Centred Evaluation of medical devices (PACE) program for the next 5 years. The PACE project aims to improve how medical technologies are assessed by involving patients and
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the workplace, affecting workers’ mental health, financial security, family relationships, and children’s long-term outcomes. Yet, despite the rising frequency of economic shocks – from natural disasters and
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. Our students have the opportunity to make an impact and solve real world issues in a stimulating, supportive environment with access to cutting edge facilities. The Opportunity Expressions of interest
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Duration: 3 years 9 months Remuneration: Scholarship awards provide a stipend of AUD$35,000 per annum (tax-free). Additional support will be available for computing/conference attendance. The Opportunity
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opportunity to make an impact and solve real world issues in a stimulating, supportive environment with access to cutting edge facilities. The Opportunity Expressions of interest are sought from outstanding
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between theoretical and computational high-energy physics. The research contributes to the world-leading PYTHIA Monte Carlo Event Generator, which serves as the baseline for the majority of experimental