1,885 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" positions at Duke University
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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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contracting, comprehensive financial management, forecasting and data analytics, and the coordination of professional service agreements with community and institutional partners. The Strategic Service
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investigations; analyze data; and disseminate research findings. Participate and observe clinical activities, including clinical visits, rounds, meetings, and surgeries. This position will work with Peter Passias
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international programs in more than 150 countries. Be You. Be Bold. Choose Duke. Be You. Introduction The Duke Law Library’s Data Lab is seeking a talented Computational Legal Scientist to support the empirical
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(requisitions, inventory, and reordering). Under supervision, prepares for study monitoring and audit visits. Maintains participant-level documentation for non-complex (e.g., questionnaire, data registry
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the role as conduit of information that must flow between Duke staff and the Non-English-speaking patient/visitors. Ensure that all information pertaining to the patient's outpatient services
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clinical nurse educator and clinical nurse specialist to address unit educational needs. Informatics: Serve as a superuser for clinical information systems. Disseminate and communicate information to staff
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or Matlab. Duties include but are not limited to: • Clean, organize, and manage large datasets related to policing and public safety initiatives, ensuring their readiness for analysis and compliance with data
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Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. This postdoctoral associate will collaborate with experimentalists to utilize EBV and HIV-1 infection data together with multiscale ABM
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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. in a relevant discipline