223 data-"https:"-"https:"-"Ulster-University" positions at Oak Ridge National Laboratory
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Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics
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Requisition Id 15381 Overview: We are seeking a Data Engineer who will focus on engineering design, installation, and troubleshooting associated with the rapidly growing field of stable isotope
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Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data Analysis and Machine Learning Group. This group focuses
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Requisition Id 15464 Overview: The Mathematics in Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data
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pay range: Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay. Salary for this position will be commensurate with
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Requisition Id 16090 Overview: We are seeking a Geospatial Software Engineer. This position resides in the Remote Sensing and Environmental Informatics Group in the Earth System Informatics and Data
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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing
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Requisition Id 16059 Overview: We are seeking an Electrical or Computer Engineer who will focus on software-defined radio (SDR) system development, integration, and deployment. This position
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infrastructure, ensuring smooth data communication by managing and configuring network devices like routers, switches, firewalls, and wireless access points, monitoring network performance, identifying and
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challenges facing the nation. We invite applications for a Principal Engineer for Geospatial Computing Infrastructure. This dynamic and visionary leader will launch and build a next-generation Geospatial Data