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++ and Python programming languages. Experience in open source projects, GPU programming, distributed computing and cloud computing are considered to be strong assets. The position of Research Fellow at
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interface is required. Experience with one or more of the following is desired: large-scale genomic analyses, variant calling, cloud computing, machine learning methods, and or statistical genetics. Job
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Familiarity with LiDAR data processing, especially GEDI Knowledge of fire ecology and land use change processes Experience with Google Earth Engine or other cloud-based geospatial platforms Experience with
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materials to jonc101@stanford.edu (link sends e-mail) Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered
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skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and software delivery f) big data visualization g) cloud computing h) web application
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Carolina 27708, United States of America [map ] Subject Areas: Hydrology Earth and Environmental Sciences / Earth science Appl Deadline: (posted 2024/11/15, listed until 2025/05/15) Position Description
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at international conferences and communicate complex information to specialists and within the wider academic community. 6. Experience in 5G, 6G, cloud computing, aerospace, or smart grid. Skills 7
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out below. Next Steps Short-listed candidates will be invited to the University, either virtually or in-person and will have the opportunity to meet key members of the Department. The assessment for the post
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research (e.g., integer linear programming and constraint programming); heuristics, meta-heuristics, and evolutionary computations; distributed and cloud computing; automated reasoning (e.g., formal and