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• Strong quantitative and programming skills; experience with seismic data analysis or numerical modelling is highly desirable• Excellent written and verbal communication skills• Ability to work
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personal experience, but typically a 2XE internship is centred on advancing data analysis and developing tools for deploying transformative technologies within the renewable and smart energy sectors
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; Monash University, Australia | North Adelaide Melbourne St, South Australia | Australia | about 14 hours ago
. For full information on scholarship eligibility, please click here . For general information on applications and commencing a research degree at Monash, please click here . Apply for a scholarship Please
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: Forging the new Australian Dream in a Post-homeownership nation . To commence in 2025, this PhD will involve international comparative analysis of qualitative (including primary data collection) and
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Grant and offers excellent training in experimental techniques, data analysis, and translational research. The successful candidate will gain in-depth expertise in both cardiovascular and neurological
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experience equip you to contribute to the project’s objectives. Where possible, please highlight relevant skills – such as experimental design, data analysis, neurophysiological methods, or legal/regulatory
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Status: Closed Applications open: 14/10/2024 Applications close: 30/11/2024 View printable version [.pdf] About this scholarship Description/Applicant information This PhD Scholarship is funded
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took on the challenge. Visit CSIRO.au for more information. The opportunity As Australia transitions to a net zero emissions future, the energy sector is undergoing rapid transformation across
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external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning
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This project will involve epidemiologic analysis of FluTracking and published data to explore how self-testing and vaccination behaviour have evolved over time and characterise interventions and