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Field
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, ThingsBoard, etc. Familiarity with Edge Computing architecture to process data locally before transferring it to the cloud. Implementation of pipelines to collect real-time data from IoT sensors. Expertise in
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, high-dimensional modeling, or cloud/high-performance computing Experience (training acceptable) with one or more of the following: Genome-wide association studies (GWAS) Genotype imputation Fine-mapping
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(LLMs), computer networks/systems or wireless networks Research experiences in at least one of the fields: wireless sensor networks, IoT networks, vehicular networks, cloud/edge computing, AI systems A
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- Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience A PhD degree in Computer
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and William Wilcock where they will have access to in-house petascale computing facilities and cloud computing allocations. They will interact widely with all the participants in the project and have
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transportation agencies (city DOTs, state DOTs) or private vendors. · Familiarity with reproducible research practices, CI/CD for ML, and cloud computing (AWS/GCP/Azure). · Experience or interest
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computing and cloud-based infrastructure. A state-of-the-art UW Fiber Lab for DAS data and Pacific Northwest Seismic Network specialists in multi-sensor networks An working environment with a commitment to
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Proficiency in R or Python Minimum of two years of experience in computational biology or cancer genomics Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP) At least one first-author peer
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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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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This