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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipend’s are available within the doctoral programme: Biomedical Engineering and Neuroscience from August 1
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FSRF's research program. The CCA will provide mentorship and career development support to each FSRF as well as guidance on trajectories within and outside academia. The CCA's particular mission is to
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developing deep learning approaches for genome interpretation; development of methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data; and machine learning and AI
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the third and fourth years of the degree programmes, from spectral theory, groups and geometry to fluid mechanics and from mathematical ideas in biology to cosmology. Research funding in the department from
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academic taskforce, the successful applicant will work to advance four objectives: Evaluate and compare different models for accessing and analysing social platforms data, including data donation, web
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treatment program. This is an excellent opportunity for recent Ph.D. or Psy.D. graduates to advance their clinical and research expertise within a dynamic, multidisciplinary research environment. Postdoctoral
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Develop and implement metrics and methodologies for tracking and reporting in support of the growth of honors and awards for S&T staff across the laboratory Develop guidance to S&T staff for successfully
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Experimental research and with cognitive computational modeling. The fellow will be involved in the design and implementation of interactive web-based experimental studies and the use of existent high-fidelity
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Lucey, and AIML Chief Scientist, Prof Anton van den Hengel, their research team, and CommBank representatives to publish high-impact research and develop innovative AI solutions for the financial sector
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
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