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highly beneficial. Skills & Experience Strong experience in a hands-on development capacity, on cloud applications with 5+ years' experience designing, implementing and supporting Salesforce solutions
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Location Lexington, KY Grade Level 14 Salary Range $93,527-156,062/year Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: https
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with research infrastructure (e.g. HPC, cloud, MLOps pipeline); cooperation with research teams in the implementation of replicable and scalable experimental procedures; participation in the creation
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this, the CHAIN-H2 project will combine experimental and numerical studies covering small-scale kinetics through to modelling of the larger-scale characteristics of flame inhibition (flame propagation in a cloud of
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About the role: This post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) is to conduct research on cloud computing and future cloud infrastructure, under the direction
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Engineering team, responsible for the implementation, configuration, automation, and support of cyber security services across on-premises, public, and hybrid cloud environments. This includes integrating
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experience in data architecture, enterprise data modeling, or data engineering. Proven experience modernizing legacy data environments and designing cloud-native, AI-ready data architectures. Experience
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complex, hybrid on-premises/cloud environment as an Identity and Access Management Analyst (IAM Analyst). This position will play a key part in the University's ongoing modernization of its Identity and
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building cloud-native data pipelines or enterprise data platforms. 3-5+ years of direct Snowflake development experience. Demonstrated ability to modernize legacy data structures and migrate workloads
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
clouds and generating 3D representations of plants and habitats, developing procedures for the fusion of LiDAR and multi-/hyperspectral data and preparing aligned multimodal datasets, developing indicators