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TEC. 2. OBJECTIVES: Development of evaluation methodologies in federated learning and new federated learning techniques applied to underwater oceanic environments for processing tabular data, images
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, and neuroscience, and access to advanced resources such as imaging cores, iPSC-derived systems, and AI-driven tissue analytics. Responsibilities: • Design and Execute Experiments Using Mouse Models
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related capabilities noted above). This leadership role offers opportunities to link to the broader imaging ecosystem at UQ, including HIRF (https://www.hirf.com.au/), and through external engagement
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. Desirable Knowledge, Skills, and/or Abilities • Interest and experience in areas include, but are not limited to: Computer Architecture Embedded Systems Robotics Engineering Imaging and Machine Vision Signals
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processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We are committed
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research prototype, a system designed to integrate GDPR compliance directly at the operating system level. Main tasks : - Becoming familiar with the rgpdOS prototype - Designing BPF functions to extend
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professors, 2 postdoc researchers, and about 20 PhD students. The research for these PhD positions will be conducted in the System Software team, headed by prof. Bjorn De Sutter (https://users.elis.ugent.be
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to the unmixing problem. First valorization of the methods via submissions to top journals and conferences in AI/ML or image processing. • Months 18-30: Investigation of various applications and other types
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in general. Where to apply Website https://www.academictransfer.com/en/jobs/357226/phd-on-development-of-smart-alg… Requirements Specific Requirements Master’s degree in Biomedical Engineering
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processing for wireless communication systems including satellite communications and radar systems and is currently expanding its research activities in exploring several emerging use cases of next generation