71 professor-computer-science-"https:"-"https:"-"https:"-"UCL"-"UCL" PhD positions at Monash University
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Research into Antisemitism, led by Associate Professor David Slucki. The Initiative supports rigorous, policy-relevant and publicly engaged research on antisemitism in Australia. This scholarship is open to
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leadership in sustainability transitions and consumption studies: Professor Rob Raven, Sustainability Transitions Lab, Monash Business School Professor Jo Lindsay, School of Social Sciences, Faculty of Arts
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for up to three training scholarships in health economics within the PACE program. The successful candidates will undertake a tailored training program in theory and methods relevant to WP-1 or WP-2
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St Kilda Rd, Melbourne in August 2026 Employment Type: Full-time Duration: 3-year fixed-term appointment Supervisory Team: Dr Samantha Chakraborty, Professor Tari Turner Remuneration: The successful
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Institute (BDI) is one of the largest and most dynamic biomedical research and teaching environments in Australia. The Institute and its cognate Departments of Anatomy and Developmental Biology, Biochemistry
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explores how people of different ages play together, focusing on the experiences and perspectives of all participants. Working within a broader research program, the candidate will collaborate with
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science to improve health outcomes for women and their families in public healthcare settings. Your PhD research will form part of a wider research program focused on implementing lifestyle improvement
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as part of the Monash Initiative for Rapid Research into Antisemitism, led by Associate Professor David Slucki. The Initiative supports rigorous, policy-relevant and publicly engaged research
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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group’s projects often combine astronomy, coding, visualisation, and data science, and work well for students who enjoy either astrophysics, machine learning/coding, or both. The multidimensional structure