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PhD Scholarship Develop GNSS-IR methods and integrate GNSS-derived observations with satellite data and land surface models through data assimilation to deliver accurate, high-resolution soil
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PhD Scholarship Develop AI and machine learning models to guide real-time, personalised treatment of paediatric brain cancer using multiomics and clinical data, within the internationally
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PhD Scholarship - Revitalising Informal Settlements and their Environments (RISE) Job No.: 697973 Faculty: Faculty of Art, Design & Architecture (MADA) Location: Caulfield Campus Duration: 3.5-year
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fields and control systems. In addition to this, simulations of electron spins and subsequent data analysis are also an important aspect of our work. Wide-field quantum microscopy of exotic materials High
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fields; • experience with large datasets, spatial and environmental analysis, and field work will be viewed favourably; • proficiency in R or similar scripting languages for data cleaning, analysis and
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characterising spread of material for future star formation. Simulation and observational analysis of star formation regions as mission prep for planned NASA SMEX mission Eos and potential Monash cubesat project
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Eligibility criteria Australian and NZ citizens or Permanent Residents (ie "Domestic" students - Full-time enrolment) Prior studies in a field relevant to the PhD topic (including spatial analysis, psychology