290 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Australia
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impact in translational fields, which often aim to use generative AI in a responsible way. This PhD project is part of a larger cohort of projects in the Monash AI Institute, a recently expanded program
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nanoparticles in drug delivery or diagnostics, familiarity with cellular targeting, and use of computational tools to model nanoparticle behaviour. Experience in a regulated research environment is also
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Australian or New Zealand citizens or Australian permanent residents. Students undertaking the joint PhD program will be enrolled in a PhD at both institutions. Your supervisory team will comprise of academic
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Australian or New Zealand citizens or Australian permanent residents newly enrolling in a PhD. Students undertaking the joint PhD program will be enrolled in a PhD at both institutions. Your supervisory team
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resources and researchers who work with industry and Government to address the sustainability and liveability issues facing global communities. PhD students in our Joint Doctoral Degree Program will have
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Scholarship code: SRS-25032 This scholarship has been established thanks to the generosity and vision of the late Mr Anastassios Vassilogianis, benefactor of La Trobe University's Greek Studies
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chemoreceptor activity. Your work will bridge both computational and experimental research, including validation using in vivo models, optimising light delivery systems, and aligning in vitro and in vivo findings
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program, leading to joint PhDs with degrees from both universities. Applications are sought from outstanding candidates with backgrounds in chemistry, physics, materials science and related disciplines
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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to three years of study (with the potential for extension) Scholarship Details Maximum number awarded 1 Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program