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the Interpretable Machine Learning Lab (https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in collaboration with other researchers on machine learning tools that help humans make better
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Doctoral Associate Duke Department of Neurosurgery This Postdoctoral Associate position will play a critical role in making the use of new imaging tools more automatic and streamlined. Key responsibilities
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values. Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities
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manipulation, viral gene therapy, pharmacological studies, gene editing, and physiological measurements of cardiac electrical and mechanical function at a variety of spatial scales from a single cell to whole
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efforts to value a broad spectrum of effects on human health, agricultural productivity, labor productivity, and GDP that are driven by either climate change or air quality changes. Work will include use
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associate will also provide leadership in coordinating different projects and advising more junior lab members. The current and prior work of the lab include deep learning algorithms for detection
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will join the STRONG Manoomin Collective and work with Dr. Kim Marion Suiseeya. The Collective supports Indigenous-led, data-driven resilience strategies through sovereignty-affirming and culturally
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to characterize the chemical speciation and leaching potential of target metals from candidate feedstocks. The Postdoctoral Associate should be able to work effectively with collaborators from diverse disciplinary
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analyzing single-cell and spatial profiling data using modern techniques. This work should have contributed to significant pre-prints or published manuscripts, where the candidate played a leading role
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single-cell multi-omics data, or genetic variants and functional genomics data), and apply the computational methods to integrative genomics data to understand tumor microenvironment, brain science, and