669 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United States
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-pharmacologic therapies, and explore reasons for health disparities in the areas of brain health and neurodegenerative disease using advance analytic and machine learning models. The Post-doctoral Research Fellow
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Associates will teach one seminar per year, which is one section of SHUM 2750 Introduction to the Humanities in the spring term. As well, we expect each to supervise the one-credit course SHUM 4750 for guiding
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service, or genetic information in its administration of educational policies, programs, or activities; admissions policies; scholarship and loan programs; athletic or other University-administered programs
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); Proficiency in machine learning and Python programming; Strong scholarly writing skills with a demonstrated publication record and fluency in LaTeX compilers; Excellent verbal and written communication
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for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell
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data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental
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enzyme activities and conduct directed evolution, structure-guided protein engineering, and machine learning-guided protein engineering studies to improve enzyme and pathway function. The ability
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information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on collaboration
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events. Maintain and perform analysis on large quantitative datasets; develop and implement statistical or machine learning models to recover patterns of technology adoption, task organization and skill
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Experience Appropriate PhD in a related field. Preferred Qualifications Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in the environment