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PhD Scholarship This project will help validate and improve a saliva-based hydration test and digital app for sport and workplace use, testing new saliva-based hydration markers in real-world settings to improve accuracy and confirm the system is fit for purpose. This PhD project will develop,...
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supergiant stars right before the explosion Searching different astrophysical channels that produce r-process elements Connecting the properties of long-duration gamma-ray bursts and associated supernovae web
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datasets with different configurations (e.g., number of channels, sampling frequency and resolution). To leverage large-scale self-supervised learning to train models on unlabeled EEG data, reducing reliance
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City Adelaide Website https://adelaide.edu.au/ https://www.centreforcancerbiology.org.au/research/vascular-biology-and-cell-trafficking-laboratory/ Street 108 North Tce Postal Code 5000 E-Mail
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engineering. Experience with experimental measurements, image-based diagnostics, laboratory testing or quantitative data analysis. Coding and analysis capability in Python and/or Julia, preferably with
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/InstituteAdelaide UniversityCountryAustraliaState/ProvinceSouth AustraliaCityAdelaideGeofield Contact State/Province South Australia City Adelaide Website https://www.adelaide.edu.au/ Street North Terrace Postal Code
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through dual-channel phonon engineering'. The PhD will be supervised by Dr Meng Li and based at the School of Chemistry and Physics at QUT. The candidate will join a vibrant interdisciplinary research
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University Supervisor: Dr Mega Kar Graduate Research Degree: Doctor of Philosophy (course code: 3291) Application type: Candidature only Enquiries: Dr Mega Kar, [email protected] Applications close: Monday
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group’s projects often combine astronomy, coding, visualisation, and data science, and work well for students who enjoy either astrophysics, machine learning/coding, or both. The multidimensional structure
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nucleosynthesis in violent episodes suffered by ancient stars" (with Dr Carolyn Doherty) "Applying 3D stellar hydrodynamics findings to 1D stellar codes: Improving the modelling of convection in stars" web page