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Field
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with cloud computing, API integration, data visualization, and database management. Ability to work in interdisciplinary research environments bridging theory, applications, and ethics. The appointment
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years of protein design experience Preferred Qualifications: Ph.D. with postdoc in Computational Biology, Structural Biology, Bioengineering, Biophysics, Computer Science, or related discipline with a
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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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strategy with the support of a Junior RSE and in collaboration with the scientific staff of the institute. This includes making foundational decisions about software architecture, computing and storage
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for environmental databases and analytics. Collaborating with researchers to scope features, translate research needs into user-friendly tools, and ensure usability and accessibility. Supporting deployment in cloud
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networks and/or edge-cloud continuum Document knowledge about the system performance evaluation of computer systems and networks for interactive applications, preferably with AR/VR/XR, robotics, haptics
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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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) corresponding to a minimum of four years in the Norwegian educational system Documented experience in computer networks especially in mobile networks and/or edge-cloud continuum Document knowledge about the
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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
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diseases. Additional details about the lab can be found at http://ismagilovlab.caltech.edu/ Essential Job Duties Assist graduate students, postdocs, and research staff with bioinformatics/computational