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, research suggests that in Australia 48% of dementia cases could be prevented through actions to mitigate the seven risk factors addressed in this PhD. Aims The aim is to develop a new public health toolkit
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understanding, reconstruction, and synthesis. How to Apply A PhD in computer science or a related field is required. Candidates are requested to submit (1) a curriculum vitae, (2) a cover letter (1–2 pages
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Our aim is to be the world-leading centre for health economic and health technology assessment research and education, working to improve health and wellbeing through better decision-making. PhD: 3
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State University of New York University at Albany | Albany, New York | United States | about 6 hours ago
operate as intended. This may include systematic reviews, meta-analysis, abstraction-based grounded theory, text-to-data abstraction, use of administrative data collected for other purposes etc. Provide
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Our research strength is identifying the causes of mental disorders and suicide to develop clinical trials of novel complex interventions. PhD: 3-4 years full-time; 5 years part-time; IPhD: 5 years
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Required • A PhD in Indigenous Studies or American Indian Studies or PhD in an allied field (including but not limited to Anthropology, Comparative Studies, English, Geography, History, and History of Art
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State University of New York University at Albany | Albany, New York | United States | about 6 hours ago
external sources (literature, unstructured data gathered by external groups) to ensure programs operate as intended. This may include systematic reviews, meta-analysis, abstraction-based grounded theory
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to practically storing and presenting a richer array of contextual information. Thanks to substantial investments from “tech giants” like Microsoft, Google, Meta, and Apple, mixed reality displays have rapidly
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the effectiveness of population health interventions. PhD: 3-4 years full-time; 5 years part-time; MD (Doctor of Medicine): 2 years full-time; 4 years part-time; IPhD: 5 years full-time; Apply now Research projects
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range of exciting projects: for example, developing machine-learning approaches for the identification of known and unknown metabolites in MS/MS data; meta-analysis of mass spectrometry-based metabolomics