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(https://www.bookbotkids.com/ ) is an AI-powered platform and app designed to enhance children’s reading engagement and fluency through interactive AI agents using advanced language models. About the
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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publication Strong programming skills and familiarity with machine learning or finite element modelling Not currently receiving another scholarship of equal or higher value Application process Future student
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qualifications, academic achievements, list of publications, work history and references A copy of your academic transcript(s) Enquiries Dr Karen Little, karen.little@monash.edu , Business Manager, ITTC
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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, with particular focus on modelling and simulation. Some example projects include: "The impact of stellar rotation on the nucleosynthesis in the first generation of stars" "Stripping of planets by
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; and, economic modelling of health policies and technologies . Employment prospects PhD graduates from the Centre for Health Economics typically find employment as researchers in leading universities
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courses Any HDR student willing to use mathematical modelling and simulation in engineering and physical problems. Eligibility criteria Strong mathematical background Strong analytic abilities Experience in
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), mouse models, fluorescence microscopy (confocal), genomics, epigenetics, cell biology and biochemistry techniques (e.g., RNA/ChIP-seq, mass spectrometry). Successful track record in conducting and driving
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational