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Field
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signals of interest. Create reference datasets of spectrum usage for the wider community to use as benchmarks for evaluating spectrum sharing techniques. Emulate wireless systems on software defined radio
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team to lead the wave and hydrodynamic modelling to study the impact of mangroves and seagrass on coastal dynamics and sediment transportation. As a specialist in wave modelling software, the successful
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systems on software defined radio (SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide
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principles, and proficiency in Microsoft Office and specialised research software are essential, with experience in AI tool development considered highly advantageous. About Monash University At Monash , work
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MRI studies Perform image analysis and postprocessing using neuroimaging softwares such as SPM, CONN, BrainVoyager, EEGlab and NIRSlab, etc Apply programming skills in E-Prime, MATLAB, PsychoPy and
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passionate individual contributing to NTU education environments A highly dynamic person inter-disciplinarily trained in AI, VR, and edu tech An experienced developer designing AI and VR for Education tools
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other software's packages. Ability to maintain a day-to-day meeting routine with the group leader to update on the progresses made in the development of these software tools. To be successful at Level B
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knowledge in modeling light propagation in non-Hermitian random media. Proficiency in programming languages such as Matlab, Mathematica, or Python. Proficiency in using electromagnetic simulation software
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assessments (LCA) to quantify the environmental impacts of proposed processes and compare them with conventional alternatives. Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS
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machine learning models with respect to accuracy and uncertainty quantification. - Developing software to implement the goals stated above (most likely in Python). - Disseminating results