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Field
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the analysis of large, integrated health-related clinical and administrative datasets, national surveys, and other data. Statement Posting Details Special Instructions to Applicants Quick Link to Posting https
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integrates neuroimaging, sleep measurement, digital phenotyping, electronic health record (EHR) data, and deep clinical phenotyping to identify predictors of symptom trajectories and functional outcomes in
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executes experiments. Performs lab-based analysis of new and existing clinical samples, advanced statistical analysis of research experiments and results. Utilizes knowledge and skills granted to them by
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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, Computer Science, or a closely related field. A strong track record of publications in top-tier AI/NLP conferences. Advanced experience in training large language models or handling multi-modal clinical data. Strong
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candidate will be involved in projects to perform big-data research, bundling genetics, multi-omics, biomarker, clinical, and histopathological data, to harness the full range of biologically relevant data
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). The successful candidate will be involved in projects to perform big-data research, bundling genetics, multi-omics, biomarker, clinical, and histopathological data, to harness the full range
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across heterogeneous data types such as clinical, imaging, omics, text, and experimental data. The work will include developing approaches for continual model improvement, adaptive federated training
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
clinical translation • Develop and validate disease progression models and other data-driven analyses in large-scale multimodal datasets (imaging, phenotypical data, genetics data) • Author scientific