11 molecular-modeling-or-molecular-dynamic-simulation PhD scholarships at University of Adelaide in Australia
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prediction, signal tracking, fluid dynamics, and space exploration. Advancing Signal Modelling with Physics-Informed Neural Networks This project aims to develop Physics Informed Neural Networks (PINNs
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cutting-edge research in biochemistry, molecular biology and plant science. The student will be supervised by Dr Tatiana Soares da Costa based at the University of Adelaide. Dr Tatiana Soares da Costa is
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AEMO’s annual General Power System Risk review AEMO must model the power system at a 5 year ahead time horizon. Modelling at this time horizon while accounting accurately for power system dynamics in PSSE
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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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are recruiting three PhD students for the following Projects: Project 1: Unifying on-farm data and crop models to enhance tactical crop decisions Summary: Despite the increasing availability of on-farm data and
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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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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
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fracture outcomes using a static locked femoral nail or a femoral nail in the dynamic mode with a sliding lag screw. Clinical factors (including analgesic requirements, Time up and go) and radiological
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in South Australia, tailored to the needs of consumers, carers, and clinicians. Delivered through a hub and spoke model, BPD Co supports the implementation of a variety of services across a stepped
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possible shift (temporal and spatial) in rainfall patterns across the MLR (climate change/water) Explore various River Murray hydrological, hydraulic modelling questions (River Murray/water) Review economic