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Investigation of the use of Optical Photogrammetry in High Dose Rate Surface Brachytherapy

Honours project: This project utilises optical photogrammetry to address limitations of surface mould applicators for brachytherapy.

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Understanding Laser Beams

Honours project: The goal of this project is to explore the use of new imaging arrays for laser beam profilers that can cover a wide range of wavelengths.

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Intelligent Infrared Imaging Sensors Using Machine Learning

Honours projects: Accurate knowledge of optical parameters is becoming increasingly important for a wide range of scientific and industrial applications.

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High-Precision Surface Metrology of Mirrors

Honours project: This project provides the opportunity to adapt an advanced set of modelling tools to predict the performance of 2µm lasers and help optimise their performance.

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Studying the Highest Energy Particles in Nature with the Pierre Auger Observatory

Pierre Auger Observatory

Honours project: Projects with the Pierre Auger Observatory in western Argentina which has been built to detect giant cascades of particles created in our atmosphere by the highest energy particles known in the Universe.

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Theoretical High Energy Physics

Honours projects: Available projects include supersymmetry (SUSY), GUTs, dark matter, extra-dimensional models, composite Higgs models, and scale invariant theories.

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Mixed Digital and Analog Control of Advanced Lasers

Honours project: This project explores the use of blended control strategies to optimise the performance of advanced lasers.

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Micro-Structured Optical Fibre for High Power Laser Beam Delivery

Honours projects: Accurate knowledge of optical parameters is becoming increasingly important for a wide range of scientific and industrial applications.

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Cloud Microphysics

Honours project: Development of balloon-borne optical instruments to investigate super-cooled liquid water in the atmosphere, and its effect on weather and climate models.

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Machine Learning Techniques for Advanced Gravitational Wave Detectors

Honours project: This project will use advanced interferometer simulation software, developed by researchers at Adelaide, coupled with machine learning and Bayesian analysis methods to develop new techniques for extracting experimental parameters within gravitational wave interferometers.

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