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of Defense (DoD) is offering a post-doctoral fellowship at the U.S. Army Medical Research and Development Command - Institute of Surgical Research (USAMRDC ISR) within the Expeditionary Medical Systems (EMS
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artificial intelligence (AI) and an increasingly important force in a digital and data-driven world. Integreat develops theories, methods, models, and algorithms that combine data with general or domain
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National Lab, University of Tokyo etc.), the PhD candidate is expected to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient
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of the department. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Job description The PhD fellow will contribute to the development of an observing system for land
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
medicine and AI-driven personalized treatment planning Human-AI collaboration in surgical safety and perioperative care AI for health equity — reducing algorithmic bias and expanding access to care
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such actions remotely with both action and reaction traversing long distances is far beyond our technical capabilities today. Even the developments in 5G and beyond networks that specifically target significant
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software development team A published example of a developed algorithm, pipeline, or database with application to multi-omic or image data. Ideally an R package in CRAN or Bioconductor. Demonstrated ability
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities