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The major areas of research currently include theoretical and experimental optical, electronic, and magnetic materials, polymers, ceramics, composites, nanomaterials, energy materials, quantum materials and devices, biomaterials, medical devices, additive manufacturing, data science of materials, and computational materials science.
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The University of Washington is a science and engineering leader in computation, modeling, and data sciences, from atmospheric sciences and oceanography to quantum chemical systems and protein design.
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Develop large multimodal/foundation models integrating structured and unstructured data including single cell RNA/ATAC/CITE-seq and CRISPR perturbation screens for cell engineering and target discovery applications.
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In order to be considered for this role, you must have at least a Ph. D. and 5+ years, MS and 8+ years, or BS and 10+ years of relevant experience in computational biology, bioinformatics, data science, computer science, software engineering, engineering, or a related field.
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We are seeking a talented Business Intelligence Engineer to support the Prime Video US Science, Engineering, and Measurement Team. We are continuously raising the bar on the scientific rigor of marketing measurement and optimization through analytics, experiments, and models.
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An undergraduate degree in computer science, engineering, data science, finance, economics or related disciplines is a plus, MBA preferred. ● Implement and maintain the roadmap by working cross-functionally with members of the product team, engineering team, data science & analytics team, business team, finance team, legal team, operations team, marketing team, and more.
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Senior ML Research Engineer, Apple Services Engineering - Search Science. Experience building big data pipelines with Hadoop, Java, Scala, and Spark. -Use big data technology to evaluate and prioritize content discovery features.
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The Enterprise Data Solutions (EDS) team is part of the Chief Information Office (CIO) org and comprises of five teams: Advanced Analytics & Insights (Data Science & Business Intelligence), Knowledge Management, Data Engineering, Data Infrastructure & Health Data Platforms.
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Responsibilities- Develop efficient, highly scalable and secured services to build/integrate e-Commerce CRM solutions for TikTok Shop in the US- Develop and Optimize backend systems and services for data security, modularity, computational efficiency and scalability across all product engineering disciplines.
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Master's or PhD degree in Aerospace Engineering, Electrical Engineering, Computer Science, Robotics or a related field. Implement sensor fusion techniques to integrate data from multiple sensors such as GNSS, IMU, LIDAR, radar, sonar and cameras to enhance the accuracy and robustness of vehicle navigation where applicable.
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Advanced degree in Data Science/CS/EE/Applied Mathematics/Statistics/ML/NLP or related fields and/or relevant and equivalent engineering experience. Open Language Model (OLMo) is the AI2 LLM framework designed to provide access to data, training code, models, and evaluation code necessary to advance AI through open research to empower academics and researchers to study the science of language models collectively.
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BS or MS in Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field. Expertise at building ML infrastructure - having 4+ years of industry experiences building infrastructure that handles data preprocessing/transformation and model training, evaluation, and deployment.
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We are a subsidiary of Maul Foster & Alongi (MFA), an employee-owned consulting firm known for its expertise in environmental science, engineering, planning, communications, and GIS. At FLO, you'll have the opportunity to advance your career while making a meaningful impact in your community.
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You will be responsible to design and build advanced data science and algorithm solutions to solve interesting and impactful business problems, such as fraud prevention, AML, user experience customization and optimization, campaign management, etc.
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Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics or a related field; graduate degree in Data Engineering, Data Analytics, Data Science or other quantitative field is preferred.
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science data engineering jobs in Seattle, WA
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