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                will work with the PI to implement and parameterize a computer vision deep learning model to classify giant kelp canopy from high resolution satellite imagery. Additional tasks will include developing 
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                Storage (GCS) applications. You will specifically apply these methods to dynamic reservoir modeling, area of review evaluation, and wellbore integrity assessment of GCS in both new fields and reuse 
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                Skip to main content Recruit Home Open Recruitments Postdoctoral Researcher in Applied Environmental Economic Modeling, UCSB, Santa Barbara, CA (JPF03021) Postdoctoral Researcher in Applied 
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                Responsibilities 80% - Model 20% - Model POSITION INFORMATION Salary or Pay Range: $20.03/hr. - $20.03/hr. Salary Frequency: Bi-Weekly UC Job Title: ART MODEL UC Job Code: 006107 Number of Positions: 8 Appointment 
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                tools and software for data analysis. Prior experience contributing to peer-reviewed research or high-impact analytic projects. Expertise in statistical methods including linear models, non-linear models 
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                Job Summary The Staff Research Associate 1 (SRA 1) will be an integral member of the research team in the Department of Pediatrics, supporting large animal model research studies led by Dr. Satyan 
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                advance innovations in areas such as biomedical devices, biomaterials, computational modeling, and systems biology, with strong collaborations across UCLA’s world-class medical and engineering schools. As 
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                quality, individualized patient care and support of Medical Center philosophies. The Nurse Manager will lead staff to model a professional practice environment by: providing a clinically competent staff 
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                theory & experiment: Co‑design validation experiments with experimentalists; iterate models using feedback from new measurements. Automate the workflow: Build Python workflows for simulation and data 
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                , or offerings. Provide expertise in machine learning (deep learning, generative models, NLP, computer vision) and integrate these approaches with Lab-scale HPC and cloud environments. Develop and optimize