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applications; leading software development efforts; mentoring graduate and undergraduate students; and contributing to interdisciplinary collaborations with clinicians and healthcare researchers. The postdoc is
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automation methodologies and software infrastructure for next-generation computing systems, including neuromorphic and emerging hardware platforms. The position involves designing high-performance algorithms
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technical topics to non-experts without the use of generative AI. Experience with software such as the Adobe Creative Suite, Blender, and DaVinci Resolve. The intent of this job description is to provide a
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. Follow expectations for responsible dissemination of materials, reagents, software, and potentially patentable discoveries. Required Qualifications A PhD or equivalent doctorate (e.g., MD, ScD, DVM
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Polarization Lab for scientific research on human-AI interaction on social media. The ideal candidate will possess advanced knowledge of R and/or Python software, have experience performing statistical analyses
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encouraged to submit a cover letter that indicates their interest in working with the broader cosmology group at Duke. This position is ideal for a candidate who is passionate about scientific software
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statistical software (R, SAS, etc). Demonstrated ability to conduct research and publish in peer-reviewed journals. Excellent written and communication skills. Duties and Responsibilities Perform advanced
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Experience- Preferred--device design, fabrication and testing with microfabrication and integrated photonic devices. Skills- Preferred--Quantum software, quantum computing Duke is an Equal Opportunity Employer
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guidelines for the Postdoctoral Appointee-mentor relationship Prompt disclosure to the mentor regarding the possession and desire to distribute materials, reagents, software,copyrightable and potentially
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software. Receive tailored mentorship in grant writing (e.g., NIH K99/R00), career planning, and leadership. Minimum Qualifications: The candidate should hold a PhD (or equivalent) in Computer Science