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; Generation of reports and scientific publications; Engagement with students and postdocs and provision of technical support within the UNR Wildfire Hub and beyond; Making presentations in scientific
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9 Feb 2026 Job Information Organisation/Company IMT Atlantique Department Computer Sciences Research Field Computer science Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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for Horticulture and Phenotyping) team research topics focus on low cost computer vision and machine learning, simulation assisted plant phenotyping and machine learning based data mining for plant biology
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materials, exam logistics, grading workflows, and technical support for learning platforms (e.g., Canvas), to ensure smooth instructional delivery. Coordinate the preparation and timely submission of letters
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» Computer engineering Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Positions Postdoc Positions Application Deadline 27 Feb 2026 - 17:00 (Europe/Athens) Country
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participate on interdisciplinary teams with faculty in the AgriLife Research and Extension Centers (see the list at https://agriliferesearch.tamu.edu/research-centers/) and where appropriate the Texas A&M
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at Sahlgrenska Academy of relevance include genomics, metagenomics, culturomics, proteomics, transcriptomics, software development, machine learning, and other statistical analyses of large-scale health data
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. This position seeks an experienced and recognized energy expert who can strategize and grow demand forecasting research at NLR. This is a recent example of one of the tools NLR has developed: https://tinyurl.com
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our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague
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machine learning (ML)) and emerging data types (electronic health records (EHR), biobanks and disease registries, and next-generation genomics including single-cell and spatial omics); communicates clearly