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. ● Experience working with large datasets and cloud computing environments. ● Excellent written and oral communication skills, with a track record of peer-reviewed publications commensurate with career
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in Linux/Unix-based high-performance computing ( HPC ) environments and job schedulers (e.g., SLURM or qsub); experience with cloud computing platforms (e.g., AWS , GCP , Terra) is a plus
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developing code with a team through collaborative version control ● Experience working with large datasets and cloud computing environments. ● Solid background in statistical modeling and inference
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and cloud computing environments. Solid background in statistical modeling and inference Excellent written and oral communication skills, with a track record of peer-reviewed publications commensurate
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focuses on understanding boundary layer cloud processes through Large Eddy Simulation (LES). A novel aspect is to represent cloud microphysics using a Lagrangian technique implemented in the turbulence
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, contrastive learning, or representation learning approaches Experience with high-performance computing, cloud platforms, or distributed training Prior experience working in a collaborative biomedical
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projects and working with transportation agencies (city DOTs, state DOTs) or private vendors. · Familiarity with reproducible research practices, CI/CD for ML, and cloud computing (AWS/GCP
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), Internet-of-Things (IoT) devices, cloud computing, and next-generation communication networks, has greatly expanded the cyber threat landscape. Ensuring the security, privacy, trust, and resilience of
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Job Description Are you interested in pursuing a PhD at the intersection of artificial intelligence, embedded systems, and sustainable computing? Join the Embedded Systems Engineering (ESE
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processing, semantic search, and knowledge graph technologies. 2. Design, implement, optimize, and maintain secure, scalable, and high-performance AI solutions across cloud and hybrid computing environments