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research infrastructure. Apply advanced statistical, machine learning and data engineering methodologies to large-scale, longitudinal datasets, contributing to innovative melanoma and skin cancer research
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Simons Collaboration on the Physics of Learning and Neural Computation | California City, California | United States | 2 months ago
Position Description The Simons Collaboration on the Physics of Learning and Neural Computation is searching for postdoctoral fellows at Stanford to perform scientific research on AI, working in
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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
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designing and building visualization dashboards. Research experience in human-centered AI, or in the integration of AI and machine learning methods into interactive visualization and analysis systems. Strong
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affiliated with Columbia University. Duties and Responsibilities: Construct air pollution and meteorological data prediction models using machine-learning based methods Conduct epidemiologic analyses studying
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utility-scale quantum computer in Brisbane. The QDA aims to pioneer the use of quantum computers for high-value decarbonisation projects such as improved battery chemistries, the development of new
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applications for a post-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . The lab— in the Evolution, Ecology, and Behavior section—investigates machine learning approaches
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 11 days ago
it, 80 years later. For generations, our people have turned curiosity into ideas that have shaped Australia and our region. Learn more about ANU, our history and the community that has shaped us: ANU
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Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in programming languages such as C and Python Proficiency in deep learning
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validating the gene functions with transformation and molecular experiments. Lastly, you will assist in analyzing the gene-edited plants to improve grain quality in barley and oat. Learning Objectives: You