117 data "https:" "https:" "https:" "https:" "Dr" "UCL" research jobs at Duke University
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POSTDOC_CRICHMOND [#31795] Position Title: Position Type: Postdoctoral Position Location
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Health Sciences. The position will be focused primarily on analyzing data from projects related to emergency medical services, focused on stroke care, and climate change implementation science. This role
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addition to pursuing their own research agenda, we seek applicants with experience in survey design and computational methods, and working with complex large-scale data. Successful candidates will have completed a Ph.D
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skills are expected. This position requires a PhD. To apply, candidates should submit a cover letter, curriculum vitae, and contact information for three references to Professor Tai-ping Sun, email address
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develop computational methods to interpret complex data. In addition to research responsibilities, the postdoctoral researcher will actively engage in group meetings, journal clubs, and departmental
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performance on large-scale electronic health records. The fellow prepares manuscripts for high-impact journals and contributes data to federal grant proposals. Job Responsibilities: Applicants must possess a
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to identify biological signatures of sepsis and other acute critical conditions. Daily operations involve the processing of transcriptomic and genomic data integrated with longitudinal clinical variables
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exceptional opportunity for early-career scientist with training in nutrition or biostatistics (with an interest in nutrition) to develop advance skills and experience in clinical trial data analyses, clinical
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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of genomic, single-cell, and/or other high-dimensional biological datasets. Integrate multi-omics data (e.g., genomics, transcriptomics, proteomics) to identify novel biological insights relevant to human