30 assistant-professor-computer-science-and-data PhD positions at University of Adelaide
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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among higher degree by research students, and to promote knowledge transfer between academia
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demonstrate suitable experience in computer science, machine learning, robotic vision, or a related field (through a high-quality Honours or Masters degree). The successful candidate must be able to enrol as a
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Mathematics, Data Science, Computer Science Engineering, Artificial Intelligence, and Information Technology will also be considered, but it will further be required that they also have a strong interest in
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their candidature. The program consists of a 20 hour practicum placement within PHSA, mentoring component, and attending and assisting as required at HDA events. Annual renewal of top-up funding will be subject to
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PhD Opportunity – Advanced Microwave Sensor Design for Detection Technologies The School of Electrical and Mechanical Engineering at the University of Adelaide is seeking a highly motivated PhD
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data on homeowner retrofit needs and preferences. Undertaking research trials to test and refine the AI algorithms used in our platform. Meaningful assistance in research and policy development with a
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eligibility. Key Responsibilities Assist with experimental work on lipid nanoparticle formulation for drug delivery Operate and develop microfluidic platforms for nanoparticle synthesis Handle and process mRNA
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knowledge of health economics, but this is not a requirement as training will be available throughout the PhD program. Stipend: The scholarship will be for 3.5 years and has a stipend of $35,300 (indexed
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Honours degrees in the following disciplines, or with equivalent research or work experience will be favourably considered: Computer and Data Science; Applied Mathematics and Statistics. Number
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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