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Field
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with the highest probability of success for treating diseases, specifically focusing on identifying disease mechanisms supported by multiple, independent genetic variants. The postdoc will develop and
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, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working
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) at Harbor Branch Oceanographic Institute/Florida Atlantic University. Currently, SAIL is conducting multiple projects ranging from Hybrid Aerial Underwater Robotic System (HAUCS) – a cyber physical system
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community. Requirement: PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like
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, the candidate is expected to contribute to the development of novel workflows for joint inversion of multiple data types (e.g., borehole acoustic or seismic data) in the context of geosteering. The specific tasks
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University of California, Los Angeles | Los Angeles, California | United States | about 24 hours ago
) to manage and improve computational pipelines. Data Storage and Management: Experience in managing large-scale -omics data, including data storage, organization, and inventory across multiple platforms
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initiative within AbbVie's broader AI strategy, with direct applications to accelerate drug development and reduce safety-related attrition across multiple therapeutic areas. Key Responsibilities Identify
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accepting applications for multiple full-time fellowship positions based in Seattle. These fellowships offer an exceptional opportunity to contribute to cutting-edge global health research in a dynamic
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to identify novel targets for diagnostic use and therapeutic intervention. Fellows will work on research problems using rich data sets and leading-edge analytic approaches supported by multiple NIH grants (R, U
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programming languages such as Python and C++, as well as experience with machine learning frameworks like TensorFlow or PyTorch Familiarity with image processing libraries and a solid grasp of deep learning