16 modeling-and-simulation-post-doc PhD positions at University of Adelaide in Australia
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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning
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of potential options for implementation. This will include prototyping and testing of various implementation options, analysis and documentation of results. Project 2 - Future Power System Modelling: As part of
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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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of the role of chromatin in development and diseases like cancer. We seek a highly motivated, creative scientist to spearhead a project using stem cell and models to address a fundamental question in chromatin
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). No extensions shall be considered. Eligibility To be eligible for the Scholarships, applicants must be: Commencing a full-time Doctor of Philosophy program in engineering at the University of Adelaide
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(more information to come). Eligibility: Applicants must be accepted for admission into a Doctor of Philosophy at the University of Adelaide and enrolling in one of the 6 approved PhD projects in
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-year stipend scholarship to support pioneering research on wave energy converters. The successful candidate will work on cutting-edge experimental design and numerical modeling to better understand
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; Enrolled in a Doctor of Philosophy (PhD) program at the University of Adelaide; A recipient of a major scholarship; and Undertaking research relevant to environmental sustainability. *Note, environmental
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seismic data to produce 3D geophysical models that will constrain the subsurface extent of rock units that might be suitable for hydrogen generation via radiolysis and/or serpentinization and identify