230 computer-science-programming-languages-"Prof.-Dr"-"Fraunhofer-Gesellschaft"-"Prof" PhD positions in Australia
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(the first class honours or upper second class honours) in Civil Engineering, Structural Engineering or a related fields. The language requirement (IELTS: Overall 6.5, Speaking, Writing, Reading and Listening
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, including English language requirements (an IELTS score of 6.5 or above if English is not your first language). How to apply Submit your application (one PDF file) by email to Professor Christopher Barner
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-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near completion) have applied for admission to a PhD program at an Australian university or have completed
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collective expertise in key areas of the project including applied econometrics, public health, and health economics, will support the quantitative and domain-specific aspects of the study. This research is
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in the design, implementation, evaluation and dissemination of quality integrated health promotion programs. Located within CERIPH, the Drowning Prevention Evidence and Evaluation Project (DEEP) works
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Family Foundation. The scholarships are intended to supplement an existing Australian Government Research Training Program Stipend Scholarship (RTPS) or similar institutional PhD stipend scholarship
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
to modulate protein translation. This project will use RNA cross-linking technology to understand all of the RNA-mediated control elements that contribute to the system of regulation that links metabolic needs
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of endeavour including (but not limited to) employment, education, health, communications, engineering and science. Scholarship 2: Advancing gender equity and inclusion in Australia Open to Australian citizens
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fee sponsorship for the duration of the course through Research Training Program (RTP) Amount: 100% fee remission and up to $120,400 Duration: One or more years Quantity: 1 Eligibility and selection
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply