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biomedical data science, developing new methodology and scalable algorithms, and collaborating with interdisciplinary teams at Duke. Duke is an Equal Opportunity Employer committed to providing employment
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Developing custom data models and algorithms for applied research Assisting with database design, development, and testing Supporting the setup and maintenance of data handling systems Ensuring data security
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inspections and calibration of temperature/pressure sensors. Technical Consultation: Act as a subject matter expert for the Sterile Processing Department (SPD); advise management on equipment lifecycle, adverse
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--computational experience in simulating/implementing quantum algorithms for field theories on quantum hardware. Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard
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. Participate in the screening of potential subjects 3. Assemble the appropriate monitoring equipment for studies 4. Assist with data collection during active study phase: a. Application of sensors, e.g. pulse
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analyze pre‑ and post‑intervention data for pilot projects (e.g., parameter changes, phone algorithms). Produce monthly alarm reports by unit, CSU, and facility, recommending practice changes as needed
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framing for NLP tasks, rigorous model evaluation, the design of end-to-end algorithmic workflows, assessment of methodological trade-offs and challenges, and the implementation of NLP systems using high
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. Mastery of R and Python is required to execute complex bioinformatics algorithms and statistical models. The applicant exhibits a deep understanding of human immunology and the physiological responses
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. The investigator collaborates with interdisciplinary clinical teams to integrate these computational tools directly into hospital workflows. Routine duties include algorithm optimization and the evaluation of model
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submissions for continuing review, data use agreements, and protocol amendments. • Support development and testing of computational tools (e.g., algorithms for EMG signal analysis, data visualization