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surrounded by extraordinary ideas - and the people who discover them The Opportunity If you are a current Monash Master’s or PhD student and can work 3 days per week, the Monash Research Office has
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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I am seeking PhD candidates interested in working on designing Learning Analytics innovations to study classroom proxemics by analysing and visualising indoor positioning data (along with other
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research priorities. About You Essential Qualifications and Experience A medical specialist qualification in an area of expertise relevant to the Sub-Faculty and Alfred Health. PhD or equivalent research
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Experience Medical specialist qualification relevant to the Sub-Faculty and Monash Health. A PhD or equivalent research doctorate in a relevant medical or health-related discipline. Senior academic standing
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hold a PhD or equivalent experience in Pharmaceutical Science, Chemistry (Analytical, Medicinal or Pharmaceutical) or a related discipline from a recognised university. Experience with a range of
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Proficiency in analytics, AI, and modern data science tools Excellent problem-solving, project coordination and communication skills A PhD or equivalent research experience (preferred) Experience with clinical
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is highly complex. For the proposed PhD project, experimental data are already available that bring together maps of orientations of such crystals together with the deformation pattern generated during
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ecosystem interactions. If used wisely for decision-support, these technologies can help select and implement effective policies. This PhD project, jointly offered by Monash University (Australia) and
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain