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parallel algorithms, execution of algorithms in the computer cloud, to delivering on-demand measurements over the Web. key words Image processing; Machine learning, Computer vision; Statistical methods
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related or similar position including business process analysis, software vendor management, software solution identification or moving from legacy to cloud-based systems Demonstrated experience with staff
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, Redshift, or BigQuery. Configures cloud-based storage and compute environments (AWS, Azure, GCP). Implements schema design, indexing, and partitioning strategies. Ensures high availability and disaster
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A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless
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across Salesforce configuration, integrations and enhancements. Who we are looking for Deep hands-on Salesforce experience (e.g., Sales Cloud, Service Cloud, Experience Cloud), including configuration
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learning, including unsupervised and camera-aware person re-identification, with the ability to design, implement, and evaluate robust vision models. Experience in integrating research prototypes into cloud
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/cloud/HPC) environments. Ensure data quality, integrity, and reproducibility across analytical workflows. Data Science & Analytics Conduct exploratory data analysis, statistical modeling, and
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that protect the University's systems, networks, applications, and data from cyber threats. Design, deploy, and maintain security controls across network, endpoint, identity, cloud, and application environments
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software development tools and platforms (e.g., IDEs, cloud environments etc). Demonstrated ability to coordinate projects and manage multiple tasks in a structured and efficient manner. Effective
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Preferred Qualifications: Bachelor’s degree Experience doing research in academic environment Experience with cloud services (Azure, AWS, Google Cloud) Experience complying security standards (NIST 800-171