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solutions that improve access, experience, outcomes and equity for patients and families. For more details, please view ntu.edu.sg/pcfm and https://www.ntu.edu.sg/medicine/research/office-of-patient
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Description Additional comments Please see Offer Description Website for additional job details https://algoritmi.uminho.pt/open-positions/ Work Location(s) Number of offers available1Company
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Fellow to develop and evaluate artificial intelligence methods for physical medical procedures. The fellow will design and implement machine learning models to analyze procedural data, support clinical
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Research in Diverse Intelligences. The fellowship provides support to scholars studying intelligence/cognition/mind in diverse forms, from diverse disciplinary perspectives. Candidates must embrace
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The positions will be located in the Faculty of Engineering and Natural Sciences or in the Faculty of Information Technology and Communication Sciences . Job description The successful candidate will design
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Apply now Job no:541415 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate, Senior Research Associate The Opportunity The School of Computer Science and Engineering
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partnered with La Trobe University to establish the Australian Centre for Artificial Intelligence (AI) in Medical Innovation (ACAMI). Established in 2024, ACAMI is a collaborative research, clinical trials
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partnered with La Trobe University to establish the Australian Centre for Artificial Intelligence (AI) in Medical Innovation (ACAMI). Established in 2024, ACAMI is a collaborative research, clinical trials
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for Artificial Intelligence (AI) in Medical Innovation (ACAMI). Established in 2024, ACAMI is a collaborative research, clinical trials and workforce development centre operating at the intersection of AI and
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within first 30 days. Ability to work in a team setting. Advanced proficiency of Microsoft Office Suites. Ability to take direction and work independently as needed. Ability to maintain confidentiality