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Development Package valued at $13,000. Maximum period of tenure of an award is 4 years. Periods of study already undertaken towards the degree will be deducted from the period of tenure Eligibility To be
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Department at Monash has a thriving research culture, and is ranked 33rd in the world in the latest QS rankings. Candidate Requirements The successful applicant will have an excellent academic track record in
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the optimisation strategies to enhance the performance of complex machine learning models such as deep learning model and large language model. Applicants need to have strong background and track records of research
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tracking blood glucose responses to meals and lifestyle factors, the project will identify individual patterns and predictors of glucose variability. Using this detailed data, tailored dietary
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for the scholarship. Application steps can be found here . Value Domestic International Stipend of AUD $38,000 per annum. Maximum period of tenure of an award is two years full-time equivalent study. Periods of study
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funding. Candidate Requirements The successful candidate will require a proven track record in research fieldwork and historical methodology. In its assessment, the selection committee will prioritise
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opportunity Experience in machine learning and deep learning Proficiency in one or more high-level programming languages such as Python, Java, or R. Strong commitment to interdisciplinary research and a track
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need: A PhD in Molecular Biology, Cell Biology, Genetics, Biotechnology, or a related area. Expertise and interest in cancer and/or stem cell biology and associated techniques. Outstanding academic track
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for entry into the program is a separate process that must be started to be eligible for the scholarship. Application steps can be found here. Value Stipend of AUD $38,000 per annum. Maximum period of tenure
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need: A PhD in Molecular Biology, Cell Biology, Genetics, Biotechnology, or a related area. Expertise and interest in cancer and/or stem cell biology and associated techniques. Outstanding academic track