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of knowledge and expertise in: Competencies in ASD/EBD Content Areas. Produce systematic literature reviews and meta-analytic syntheses to examine and establish evidence-based practices. Conduct individualized
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developing a range of education activities for healthcare professionals including short courses, graduate certificates, Masters courses and PhD programmes. We invite applications for a tenure-track/tenured
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of predictive models. It will do this in three different ways. First, we will attempt a meta analysis of old paradigms verses new paradigm models to assess the relative commonalities embedded in each approach
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to conducting a meta-analytic review and to the evaluation of interventions, working closely with the research team to advance knowledge on evidence-based solutions. You will support the development of a research
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management. • Previous research involving large datasets including clinical meta-data and omics technologies • Familiarity with artificial intelligence, machine learning, and data science applications in
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possibilities at NC State University and the Department of Electrical and Computer Engineering for your professional and personal growth. Other Responsibilities Qualifications Minimum Education and Experience PhD
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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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, research is vital to advance diagnosis, treatment and prevention. Our strength is in identifying and designing novel therapeutic strategies that will lead to clinical trials. PhD: 3-4 years full-time; 5
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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