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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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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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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
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State University of New York University at Albany | Albany, New York | United States | about 21 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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systems to the brain imaging of human behaviour and cognition as well as social level investigations. PhD: 3-4 years full-time; 5 years part-time; MD (Doctor of Medicine): 2 years full-time; 4 years part
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efficacy at reducing couples relationship distress through several recent meta-analyses (e.g., Yong et al., 2023; Elliott et al., 2021). The therapy was largely built on task analytic micro-theories
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microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational biology, human microbiota, microbiology or other relevant areas
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world, and with world-class photonic facilities at Monash. "Quantum nanophotonic chip" "Multimode imaging through ultrathin meta-optics" "Advancing optical imaging with flat optics" "Machine-learning
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of existing techniques) or tightly coupled, which involves new ways of defining and developing these intelligences to combine both approaches. As such, recent advances on techniques such as Meta Learning, One