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. The Software Development Engineer I/II designs, develops, tests, deploys, and maintains software applications, platforms, and services that support advanced research, artificial intelligence, cloud computing
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implementation of large-scale projects supporting AI innovation, federated data ecosystems, privacy-enhancing technologies, cloud-native platforms, and scientific computing environments. Working with faculty
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agents to improve based on experimental feedback. You'll translate wet-lab and computational endpoints into a trainable signal to build models that plan and act against them. Responsibilities: Research
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infrastructure and research computing environments (e.g., server administration, cloud platforms, version control, data pipelines). PREFERRED QUALIFICATIONS Awareness of best practices relating to public and
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. - Experience with signal processing tools is desirable. - Experience with distributed training frameworks on high performance computing and cloud-based systems. - Excellent command of the English language
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science, and research software engineering, a. This position offers the opportunity to work in a world-renowned research institute alongside faculty, software engineers, PhD students, and PostDocs
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PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks
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PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks
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well as multimodal data (e.g., clinical, behavioral, multi-omics). Guide decisions around computing infrastructure (local HPC, cloud platforms, containerization). Data Management & Quality Control Implement
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hydro informatics, flood forecasting/early warning, urban flooding, radar/satellite precipitation, Artificial Intelligence, and resilient infrastructure systems. The successful candidate will be expected