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platforms. Coordination of biological sample pipelines (kidney biopsy, serum, urine) for comprehensive biomarker profiling. Utilization of machine learning and image processing for advanced tissue analysis
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models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep learning frameworks (e.g., PyTorch) Interest in applied, industry-collaborative research Apply Now Job Alerts Link
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applications, such as autonomous task execution and human-robot interaction. The successful candidate will work on cutting-edge research at the intersection of AI, robotics, and multimodal learning. Key
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Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill
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understanding of optimization methods and deep learning to enable scientific reasoning. Develop software prototypes for automated research workflows that integrate autonomous discovery pipelines with modern deep
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chronic liver disease and liver cancer. This is a highly collaborative and cross-institutional role between the Francis Crick Institute and the Wellcome Sanger Institute. Working closely with the Lotfollahi
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harness the capabilities of AI accelerator for machine learning and deep learning tasks. • Publish research findings in high-impact journals and present at international conferences. • Mentor
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large-scale field experimentation to connect root system architecture to whole-plant performance and ecosystem outcomes. We seek creative, collaborative scientists to join the following track
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Research Fellow (Machine Learning LEO Satellite Communications) Employer MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA Location North Ryde, Australia Salary $112,550 - $120,621 (Level A6-A8) per annum
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institutions. NSF HAIC’s mission is to develop trustworthy collaborative AI that strengthens human expertise, shapes the future of rehabilitation and health care, and cultivates the next generation of