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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
associate to investigate innovative methods for linking environmental data, clinical research data, and EHR and other real world data in a secure cloud environment to support biomedical research. Specifically
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, the regional campus in St. Cloud offers a wide range of patient experiences throughout students’ education in Greater Minnesota and prepares them to become exceptional clinicians and leaders for rural and
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discipline. Additional Qualifications Experience with running relevant numerical models (GCMs, mesoscale cloud-permitting or large eddy simulations) is desirable. Special Instructions Interested candidates
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successful implementation. Marginal or Periodic Functions Evaluate emerging AI, machine learning, and cloud technologies for enterprise adoption. Monitor model performance and coordinate remediation following
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Cloud, internal warehouses, planning systems) under secure, auditable, HIPAA-aligned patterns. Identify, process, organize, summarize, review, and report results; instrument every agent with tracing
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | about 2 months ago
the breakdown of the Born–Oppenheimer approximation, allows the magnetic field to interact with lattice vibrations through the electron cloud, imparting an additional Berry phase to phonons and affecting phonon
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with file management/cloud workflows. Professional in a cadaver lab setting; able to lift/carry equipment and stand for long periods. Job Duties Pre session setup: set up camera/tripod/lighting/mics
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version control ● Experience working with large datasets and cloud computing environments. ● Solid background in statistical modeling and inference ● Excellent written and oral communication skills, with a
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relevant languages (e.g., R, Python, MATLAB, Bash) and experience using HPC or cloud environments. · Proven ability to collaborate effectively with interdisciplinary teams, including bench scientists
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). Knowledge of statistical analysis and data visualization techniques. Experience working with cloud computing platforms or high-performance computing (HPC) environments. Analysis of microbiome is desirable