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Qualifications: Experience working with bacterial genomic data. Knowledge of bacterial genetics and evolution. Experience developing software tools for bioinformatics applications. Experience with cloud computing
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input sanitisation techniques; Contributing to data system evolution in the domain of zero-trust, cloud-native, infrastructure- and policy-as-code applications; Run-time anti-tamper and detection software
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people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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learning applied to geospatial data Experience with Amazon Web Services or other cloud-based computing platforms Special Instructions to Applicants: For full consideration, applications must be submitted
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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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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Online applications must be received before 11:59pm on: August 21, 2025 If a date is not listed above, review the Applicant Instructions below for more details. Available Title(s): 306-YN_FACULTY