13 condition-monitoring-machine-learning PhD positions at Queensland University of Technology
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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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. Through choreographed interactions with movement experts, this project expects to generate machine learning strategies to understand how people and robots can reliably and fluently move together. Expected
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). Have a background as a health professional or consumer advocate who has worked with (or conducted research with people with health conditions. Additionally, it is preferred if you have: experience/study
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traction as a key tool for biodiversity monitoring. However, there remain significant challenges in its widespread uptake. This project will investigate the soundscape features that indicate intact and
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courses. Browse all courses Take your development further with advanced learning and award pathways. Pathways to Politics for Women Public Sector Management Enterprise Leadership For organisations Achieve
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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2025. What happens next? Applicants invited to part two of the application process will be contacted directly to create an updated research proposal to submit. Conditions The conditions for retaining
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dual US-Australian citizen) have lived full-time in Australia for at least 2 years at the time you apply (there are exceptions for people who have served in the armed forces or diplomatic service) meet
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and conditions. Students will receive a standard PhD on completion. Eligibility The applicant must: be an Australian citizen or Permanent Resident, or a New Zealand citizen meet the entry requirements
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training program to develop your applied research skills. Successful students are subject to the policies, procedures and guidelines of QUT in addition to the CSIRO Industry PhD Program terms and conditions