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tools such as R, Python, GIS software, and photogrammetry platforms to generate reliable plot-level phenotypic datasets suitable for plant breeding analysis. 15% – Training, Documentation, and
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).The candidate will also assist the Principal Investigators in writing and modifying existing Python/R scripts/processing pipelines and will apply computational analytic techniques to support data analyses
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) that represents entities such as people, projects, grants, publications, places, and outputs—and models their relationships over time. The position will build robust Python-based ETL/ELT pipelines, implement SQL
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methods for calculating breast cancer screening rates across two systems. They should have advanced expertise in SQL and have experience using statistical or programming packages like R or Python
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. Maintain and configure the Endpoint Detection and Response (EDR) platform. Develop new and maintain existing programs and scripts, primarily in Python. Enhance security automation by developing and updating
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equal at least four years; Experience in data science and web development utilizing applications such as AWS, Python, MATLAB, R, SQL, HTML; Experience in the development of the CoCANoT consortium website
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management. Preferred Qualifications: Ph.D. in Plant Breeding/Genetics, Genomics, or related field, familiarity with plant breeding programs, proficiency in R and/or Python, experience with genome-wide
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processing pipelines. Understand (or be open to learning) the following languages: Python, R, MATLAB, bash. Other Lab Duties (20%) Attend mandatory lab and computing meetings. Share feedback and assist other
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. Duties/Responsibilities: 30% Lead multi wavelength analysis of solar flares, especially high-energy aspects using hard X-rays, gamma rays, and/or radio data, using Python software and performing imaging
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data analysis tools (Python, R, or similar) for processing high-throughput sequencing or variant library data Professional Attributes * Strong record of scientific rigor, attention to detail, and