68 assistant-professor-computer-science-"https:"-"https:"-"https:" PhD positions at Monash University
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to work closely with other leading academics at Monash University, including Professor Carol Propper , A/Prof Terrence Cheng and Dr Danusha Jayawardana . As a candidate in the CHE Integrated PhD Program
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. The candidate will work within a multidisciplinary team comprising experts in GPCR biology, computational pharmacology, artificial intelligence, and neurovascular in vivo models. The applicant will have access
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infancy is difficult. This PhD program aims at using state-of-the art multi-channel near infrared spectroscopy (NIRS) to assess the functional brain response of infants born preterm in long-term follow-up
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workforce, technology, and partnerships to improve human health locally and globally. Supervisory team You will be co-supervised by Professor Patrick Olivier (Action Lab, Monash University), Professor Tanya
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Rates website . Additional support is also available for project resources and conference presentation. The Opportunity This project offers an opportunity to research the fundamental sciences to develop a
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able to demonstrate present and current Australian work rights Have an undergraduate or post graduate qualification in Epidemiology, Computer Science, or Biostatistics, or have a public health, clinical
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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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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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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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We have several PhD and Research Assistant (RA) opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have