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Research methods include: Quantitative research, including statistical analyses drawing on government datasets, academic research, and industry trade data; Qualitative research, including field interviews, focus groups, and analysis of secondary sources.
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Setting up and maintaining cloud multi-GPU training infrastructure (GCP, AWS, Azure) with Pytorch and Jax, (both model and data parallelism) Data Science frameworks: Databricks. Machine Learning libraries: Pytorch, Jax, model and data parallelism.
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Minimum Qualifications 5 years of related research experience including: Hands on experience in trace organic analysis (preferably biota samples), solvent extraction and column chromatography procedures, and familiarity with data analysis using spreadsheets, statistical software or databases (e.g., Excel, MiniTab, STATA.
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Experience with alternative programming and mark-up languages (e.g. R, Python, XML) and/or data structures (e.g. XML, JSON) is desirable, but not essential. The scope of in-house deliverables for the department will include CDISC (SDTM and ADaM) data sets; tables, figures, and listings (TFLs) for clinical study reports (CSRs), development safety update reports (DSURs), investigator brochures, etc.
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Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run on next-generation high performance computing and data systems hosted by the National Energy Research Scientific Computing Center at Berkeley Lab.
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As a UX Researcher, you will have a critical role in shaping the user experience of our products and services by utilizing insightful research and data-driven insights. Participate in all phases of the user research process, including user recruitment, study design, data collection, analysis, and reporting.
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Build and maintain scalable image analysis pipelines, capable of handling large datasets of microscopy and other high-content biological data. They will be passionate about creating intuitive, simple, and powerful user interfaces that allow researchers and scientists without prior technical training to easily interact with complex image data.
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Establish and maintain effective governance for global IT controls leveraging deep experience in SOX, GxP, Data Protection and other compliance driven requirements. , Data Warehousing, Business Intelligence, Infrastructure, Cloud and Information Security.
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Under the direction of the Associate Director and Head of Bancroft Technical Services and in collaboration with archivists, curators, the UC Berkeley Library Digital Lifecycle Program (DLP), Library IT, Office of Scholarly Communication Services, and other stakeholders, the Bancroft Digital Collections and Metadata Librarian processes special collections materials for digital capture/reformatting, data extraction, file management, online publication, and discovery.
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Bonus Points For: Experience with AI-driven analytics and machine learning tools, particularly in optimizing product development and manufacturing processes through data-driven decision-making and predictive modeling.
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Provide immediate legal and business advice to internal clients who include senior executives, finance, corporate development, HR and talent acquisition, geologists, data scientists, and software engineers.
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4) EDX - Introduction to Big Data with Apache Spark - Berkeley. We will also examine why algorithms play an essential role in Big Data analysis. Can help to better understand the other machine learning and data science courses.
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Hands-on experience with mParticle, or other customer data platforms (CDPs), demonstrating the ability to unify data across systems and activate insights for personalized marketing. Customer Insights & Analytics: Use data and feedback to guide product decisions, analyzing behavior and engagement metrics to improve digital experiences.
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Drives awareness, preference, and demand for Sutter Health services through a suite of marketing services including customer relationship management (CRM), creative support, digital applications, consumer insights, and marketing data analytics.
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Ability to utilize a wide array of custodial chemicals; general cleaning chemicals; Ability to safely operate custodial equipment (vacuum, backpack vacuum, cardboard bailer); Ability to communicate effectively; Ability to follow instructions; Computer literacy to use business software, the Internet, enter data/retrieve data; Human relations skills to build effective working relationships.
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