298 postdoctoral-image-processing-in-computer-science-"DIFFER" PhD positions in Australia
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experience and publications in materials science, materials engineering,chemical engineering, electrochemistry, inorganic chemistry, etc., are encouraged to apply. Application process Future student, please
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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
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management skills. Candidates with laboratory skills and imaging are desired for this project. Must be eligible to enrol in PhD programs at Curtin. Application process Please send your CV, academic transcripts
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Swinburne University of Technology Swinburne Horizon 2025 draws upon our understanding of future challenges. With this new strategic plan, we choose to build Swinburne as the prototype of a new and different
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of outcomes by November 2024. Scholarship Details Maximum number awarded 1 Eligible courses All applicable HDR courses. Eligibility criteria Outstanding Computer Science or Engineering student Knowledge of data
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Economics (CHE) Integrated PhD Program , you will receive rigorous training in advanced health economics and related studies. The Integrated Program starts with advanced coursework, research training and a
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with Master degrees with technical publications and research experiences in structural engineering, structural dynamics and protective structures are preferred. Application process To apply, please send
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, are considered promising. Different processes for steel aluminization (surface deposition of a thin film of aluminium rich material) are well established in applications like the aerospace and automotive industry
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, biology, engineering, machine learning / data science, coding. How to apply: This is an Expression of Interest process. To express your interest in applying, candidates must supply the following information