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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
resistant and susceptible plants. Develop an AI-assisted image-based phenotyping pipeline to automatically quantify aphid performances on the plants. This software will automatically count for aphids and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Dependent on Experience and Qualifications Proposed Start Date 04/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative
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develop and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including R
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. Mainstream Song will research a 500-year history of global song in England, and use it to: reframe cultural history around ideas of the mainstream rather than elite/popular; tell a unifying, accessible story
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merit. Experience of and interest in the analysis of medical images, omics data or other types of health data is considered advantageous. Strong programming and software development skills and familiarity
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-based decision-support platforms for real-world transportation agencies. The Postdoctoral Associate will join a multidisciplinary team of faculty, researchers, software developers, and agency partners
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. The Biomedical Electromagnetic group focuses on developing new, more effective medical methods and systems for diagnostics and treatment. Core activities include signal processing, antenna design, and
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responsibilities include i) lead developer of the core Python application, ii) major contributor to the project ecosystem design and implementation, iii) coordinator of working groups, and iv) major contributor
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(negotiable) Group or Departmental Website: https://urbanresilience.stanford.edu/ (link is external) How to Submit Application Materials: Interested candidates should apply at https://forms.gle
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an excellent work ethic and background in molecular simulation and machine learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in