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Field
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at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data
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. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS architecture and electric mobility systems.
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of clinical and multi-omic data to uncover microbiome–host relationships -Experience with Python/R and cloud computing required Ideal candidate: A computational biologist or bioinformatician with strong
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applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud) Understanding of BMS architecture and electric mobility systems.
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techniques and tools, with a demonstrated track record in real-world applications. Strong coding skills, preferably in Python, C++, MATLAB, and other relevant languages. Experience with cloud computing and big
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yield optimization. Exposure to quantum chemistry (DFT) and molecular simulations is a plus. Experience with cloud computing and/or high-performance computing (HPC) resources. Application Process
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, including but not limited to algorithms, databases, cloud computing, machine learning, operating systems and security. Jobs Summary: UM6P invites applications for post-doc, in all areas of Computer Systems. A
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documentation. Data management & computational reproducibility. Experience with data pipelines, version control (e.g., GitHub), reproducible workflows, and cloud or HPC environments. Additional Information: In
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). Knowledge of high-performance computing or cloud environments for large-scale data. Strong collaboration skills and ability to work in interdisciplinary teams. Special Requirements: Applicants cannot have
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, and cloud or HPC environments. Additional Information: In keeping with its access, excellence, and impact mission, The University of Texas at El Paso is committed to an open, diverse, and inclusive