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in MRI sequence programming, preferably using the Siemens IDEA platform, is a plus, particularly for projects involving sequence development. Experience applying deep learning techniques
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: https://ucnet.universityofcalifornia.edu/resources/employment-policies-contracts/bargaining-units/postdoctoral-scholars/contract/ Qualifications Basic qualifications (required at time of application) PhD
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, control, and interaction for real-world robotic systems Deep learning, multimodal learning, or large-scale AI systems Demonstrated experience in robot deployment, experimentation, and applied AI development
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to the subject is essential. This could include core topics such as programming, AI and machine learning, deep learning, data science, database management, Natural Language Processing (NLP), Large Language Models
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on quantitative phenotyping via generative modelling of quantitative MRI data. This exciting PhD position combines advanced machine learning with medical imaging physics to develop next-generation tools
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Requirements Research FieldComputer science » Computer systemsEducation LevelPhD or equivalent Skills/Qualifications Knowledge • Solid understanding of machine learning, deep learning, and modern AI techniques
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on campus students, undergraduate online students and graduate Students. This role will also serve as a liaison between academic schools/departments and the Grizzly Testing and Learning Center to ensure
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to Dr Duo Chan. About You Given the interdisciplinary nature of the post, we welcome applications from candidates with a PhD (or equivalent) in Artificial Intelligence/Machine Learning, or climate science
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related to staff position within a Research Infrastructure? No Offer Description Salary package: Level A Step 6 (PhD Awarded Rate) $109,272 p.a., plus 17% employer's superannuation and annual leave loading
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. The BlueMat project ?Multiscale Operando Super-Resolution Imaging of Water Imbibition in Hierarchically Porous Materials? aims to establish methods for super-resolution imaging using deep learning. You will