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Field
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considered an asset: Modern cloud-based data platforms and their engineering capabilities, with hands-on experience with Microsoft Fabric considered a strong asset. Programming or scripting for data
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. Please ensure that you reference the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at Degree in Computer Science, Health Informatics
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or augmented reality, robotics, or other research-intensive environments. Cloud computing, high-performance computing, DevOps or software optimisation. Human-computer interaction, signal processing or data
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program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in
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that support various workloads including cloud-native, on-prem, and hybrid environments with flexibility for zero-trust, micro-segmentation, or legacy protocol compatibility as needed. Troubleshoot multi-layered
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Department: Location: Belknap Campus Time Type: Full time Worker Type: Regular Job Req ID: R109119 Minimum Requirements: Bachelor's degree in Computer Science or a related field and eight (8) years
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the Information Science Division of the Applied Research Laboratory (ARL) at Penn State. In this role, you will architect and optimize data systems that empower our data scientists to efficiently research, train, and
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members, engineers, and industry partners, including renowned researchers at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm
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world's leading data and analytics functions. To be successful in this position, you’ll have: Proven experience (3+ years) working with multiple data sets and distributed computing tools. Extensive
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, assessing computational requirements and aligning advanced computing solutions (HPC, cloud, containerized environments) with cancer research objectives in mathematical oncology, disease modeling, and