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biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis
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Classification Title: OPS Biology-Focused Machine Learning Assistant Job Description: The OPS research assistant will support multiple ongoing research initiatives within the laboratory
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to military education benefits while fostering a supportive campus environment. The Director collaborates across multiple divisions and departments, builds key partnerships, and leads initiatives to strengthen
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Australian National University | Canberra, Australian Capital Territory | Australia | about 21 hours ago
government About the opportunity We invite applications for multiple Postdoctoral / Research Fellow positions to contribute to a range of exciting projects in artificial intelligence (AI), machine learning (ML
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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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interactive learning experiences for Baylor students. The successful candidate actively manages multiple projects concurrently and can move projects with many stakeholders involved forward while effectively
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Job Description Are you interested in developing novel machine learning methodologies that are scalable, reliable and explainable and that can address imminent challenges? Responsibilities and
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring technologies that enable robotic