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physical attributes will support and improve the mapping of seagrasses. · Develop machine learning models and object-based image processing algorithms to differentiate and identify seagrass habitat
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strong background in artificial intelligence, machine learning, and data analysis. Additionally, experience in healthcare informatics, user experience research, and a commitment to improving mental health
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. The candidate will collaborate with a multidisciplinary team of researchers and contribute to the advancement of knowledge in this area. Qualifications Master's degree in machine learning Knowledge of deep
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applications in engineering areas. additional background or experience in machine learning, data analytics, and other computer science areas would be an advantage experience in power system simulation software
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largely uses traditionally approaches when it comes to laboratory work and synthesis of materials, also here the advent of automation, robotics and machine learning is bringing tremendous change
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, computer science, computer vision, or a related domain (a background in medical imaging is advantageous) Proficiency in Python programming or familiarity with deep learning frameworks like PyTorch
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to load any pages, check your computer’s network connection. If your computer or network is protected by a firewall or proxy, make sure that Firefox is permitted to access the web. You can continue with
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considered, but it will further be required that they also have a strong interest in operations and supply chain management background. Knowledge of optimization solvers and Proficiency in machine learning
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). It’s a chance for you to get help with enrolment, learning skills, language expectations and our technology and teaching systems. You will receive program information to your student email. Introductory
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The project will develop new deep learning methods to improve machine vision comprising several sensors in collaboration with industry partners 4AI Systems and 4Tel Pty Ltd. In this project we will