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to undertake research in the field(s) of Product Development and Artificial Intelligence, Sustainable Building Practices, and Data Analysis. The nature of the research and development activities for the research
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. Fixed term, full time position available for 2 years with a possible of extension. Train with an amazing group of molecular biologists focussed on addressing critical gaps in our understandings
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for listening and reading. Experience in working with human participants, strong technical skills, and experience with data and statistical analysis. Experience in neurostimulation (e.g. transcranial magnetic
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. This includes sample preparation, data collection, computational analysis, and 3D structure determination of protein macromolecules. Experience in cellular tomography workflows for EM analysis of cells and
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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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monitoring the recovery of these critical but endangered species and ecosystem. A cohort of PhD projects have been developed to achieve high-impact outcomes for bird recovery across the MLR in three priority
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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of potential options for implementation. This will include prototyping and testing of various implementation options, analysis and documentation of results. Project 2 - Future Power System Modelling: As part of
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Engineering. Familiarity with partial differential equations (PDEs) numerical analysis and / or data science and statistics will be an advantage. Number of scholarships: One Contact person: Associate Professor
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to undertake research and development activities in the areas identified below: State level climate vulnerability assessment for SA Aquatic Ecosystems (climate change/water) Analysis of rainfall data to identify