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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
performance under different acquisition conditions and across different types of plant communities, programming and automating analytical workflows in Python and R, and integrating these workflows with
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at https://energyaccess.duke.edu/ . The scholar selected for this position will work closely with EAP faculty (including Profs. Marc Jeuland and Robyn Meeks) and with co-director Jonathan Phillips, as
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multiple access. The focus will be on the application of AI techniques, aiming at their reliable, robust, and effective integration. Requirements: - Experience with the Python programming language
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referencia. Habilidades de programación en Python y plataformas de aprendizaje profundo como PyTorch. Habilidades de comunicación oral y escrita en inglés. PhD degree in computer science, electrical
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interacting with different departments and external companies, fluency in English and in French is necessary. Good knowledge in LabVIEW or Python is a plus. Website for additional job details https
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with or commitment to learning and growing as an instructor; experience using R or Python, either in teaching or to support work in statistics and/or data science. Desired Qualifications Experience
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language such as Python or Node.js) would be a plus. The candidate must be able to implement production-ready solutions in adherence to strict timelines, ensuring that deadlines are met, and that
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will require a strong interest in experimentation, reproducibility of results, and reading scientific papers. Good programming skills (in practice Python) are expected, as well as a genuine interest in
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Qualifications: M.S. (or equivalent professional degree) in physics or a related field, and experience with different computer environments and languages especially Python, Matlab, IDL, FORTRAN and UNIX/LINX
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competitive salary and access to state-of-the-art research infrastructure. Applications will be reviewed on a rolling basis until the position is filled. Previous Work https://ieeexplore.ieee.org/document