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Field
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independent research in molecular biology and biophysics, focusing on computational simulations to examine protein structure and function. This includes using advanced sampling methods and free
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computational simulations in the area of density functional theory (DFT). The role will focus on understanding and predicting the properties of novel functional materials, including surfaces and interfaces
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in cQED works. This will involve conceptualisation, design, simulation, and measurement of bosonic cQED systems. Qualifications The candidate should have comprehensive knowledge of the team’s
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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development. Familiarity with popular path planning algorithms such as RRT, A*, and optimization-based methods. Hands-on experience with simulation environments such as Gazebo and Unity3D. Excellent verbal and
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or use existing simulation platforms to validate the developed algorithms and models. Analyse simulation data, and create visualizations to support research findings. Design and build prototypes
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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services including bariatric surgery. A multi-faceted approach will be crucial to curbing the obesity epidemic and protecting public health resources. Epidemiological and healthcare system simulation
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Professor, Deakin Business School at romain.gauriot@deakin.edu.au For a copy of the position description, please see below: Associate Research Fellow PD (1).pdf Applications for this position close on Tuesday
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research in ship hydrodynamics, design optimisation, and marine decarbonisation. Our work combines advanced simulation, AI, and experimental methods to support a more sustainable maritime future. The Role