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Field
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templates inspired by Binder to support packaging, testing, and deployment of visualizations and algorithms in research and/or clinical environments. 15% Collaborates with researchers & students to plan
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departmental algorithms, the Scheduler critically evaluates the nature and urgency of scheduling requests to provide comprehensive clinical ambulatory scheduling for providers within the department specialty
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solutions for distribution power grid with renewable energy sources Development of simulation models and integration of CPS security algorithms into hardware-in-the-loop testbed environment and conduct
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concepts, such as graph theory, greedy algorithms, divide and conquer, and backtracking. Knowledge of modern algorithmic paradigms, such as machine learning algorithms, parallel algorithms, and distributed
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optimization (e.g. partitioning, distribution, indexing), and join algorithms (e.g. hash vs nested loop) · Experience in CI/CD automation for a data lake using CDK (Cloud Development Kit) or Terraform Preferred
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algorithmic paradigms, such as machine learning algorithms, parallel algorithms, and distributed systems. Relevant certifications (e.g., Data Structures and Algorithms Specialization from Coursera, Google IT
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++, Rust, Typescript, Swift, Kotlin, LabVIEW, or others). Proficient in Linux and Windows. Experience with distributed control systems. Ambitious desire to work in a specialized environment, collaborating
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for projects related to the integration of microgrids, distributed energy resources (DERs), and advanced transmission & distribution (T&D) coordination. This role is ideal for a researcher passionate about
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), database optimization (e.g. partitioning, distribution, indexing), and join algorithms (e.g. hash vs nested loop) · Experience in CI/CD automation for a data lake using CDK (Cloud Development Kit
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algorithms that run continuously and emit alarms to apps and other tools that could potentially save lives in the event of a large earthquake anywhere across the entire west coast of the U.S. and further as