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University of California, Los Angeles | Los Angeles, California | United States | about 22 hours ago
clinical data. A major focus of the position will be identifying genomic and immunologic features associated with variation in immune responses and clinically relevant phenotypes. A Ph.D. or equivalent
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directing a wide variety of experiments and evaluating and interpreting research data. The fellow will also be responsible for data management, processing and analysis. The post-doc will make significant
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RNA sequencing (scRNA-seq) data analysis. Previous hands-on experience with cell culture techniques. Experience designing and conducting independent scientific research. Strong analytical, problem
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the United States using National Vital Statistics System (NVSS) mortality data. The candidate will be mentored by Drs. Noele Nelson, Corinna Noel, and Alistair Hayden, who will support the development of independent
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Job Description Here's a Glimpse of the Job The Postdoctoral Research Associate will be involved in developing deep learning architecture for multi-object data integration, federated learning approaches
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Health and Rehab
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FAccT and AIES), as well as policy fora. Applicants should have completed, or be near completion of, a PhD in Computer Science, Information Engineering, Statistics, Machine Learning or a closely related
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research including, but not limited to, constructing hypotheses, design and planning of research studies, data management, model development, conducting experiments or assessments, analysis and
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record (EHR) data from the Department of Veterans Affairs (VA), the largest integrated healthcare system in the United States. Through the VA Corporate Data Warehouse, we have curated the VACS-National
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researcher. The project aims to develop foundation models that can learn from heterogeneous tabular data across buildings and district-scale energy systems and transfer across systems, operating conditions