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Apply computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery. Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites.
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A Senior International Learning Manager is responsible for ensuring the Brand Strategy and the overall goals and objectives of the Brand Teams are effectively represented in all of the learning programs and solutions.
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Experience with both tradition RDBMS analytics developed through SQL and big data processing technologies (e.g., Apache Spark). Collaboration with the Analytics Engineering Director to work hand in hand with the Platform/Digital and DevOps team to specify platform requirements, tool enhancements, observability & monitoring, security/audit, and alerting on various data pipelines and jobs as needed for operation the Commercial Analytics Engineering organization.
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Strong technical design skills and good working knowledge of brand identity, editorial design, information graphics and data visualization, typography, packaging design, convention graphics and signage, print production, web/digital interface, and interactive design.
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Whether your current position or job skill is a data entry clerk, administrative assistant, receptionist, warehouse or factory worker, driver, medical assistant, nurse or health care worker, call center or customer service representative or anyone who is looking for a part-time, remote, work from home job, this is an excellent position to supplement your income with great flexibility and zero prior experience needed.
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Utilize SAP, Cognos and HFM to view documents and account balances, run reports, analyze and utilize data for analytics. Efficiently complete Microsoft Excel spreadsheets including pivot tables, vlookups, conditional formatting, and analysis of data.
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Join our Global IT Organization as we help shape the future through digital, data, and AI. We are looking for a passionate, dynamic, Agile Transformation Manager to define and lead Global IT's Agile transformation journey and guide our organization and enterprise through a multi-year agile transformation and modern ways of working.
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GIS Data Conversion : Coordinate GIS data conversion and cartographic production; prepare various GIS-related documents. Technical Operations : Utilize engineering and mapping software, GPS, scripting for data integration, and other peripherals.
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Experience in developing and executing key data strategy and governance elements including but not limited to data privacy, integrity, quality to taxonomy. Our location in Lake Forest, IL, currently has an opportunity for an Analytics & Data Strategy Manager.
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The capability of learning proprietary software and be able to review and update information using METTLER TOLEDO programs. Our instruments are detecting, measuring, and weighing everything from nectar in an ant to asteroids from space.
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Experience with Machine Learning and predictive analytics strategies. Will act as the primary contact as a business relationship manager that will become a subject matter expert in operations data for Safety, People, Quality, Service, or Cost.
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Set up EventBridge/API to establish a data pipeline from Genesys to our Snowflake instance. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning.
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Maintain Patient Electronic Medical Record data via canopy and greenway. Our value-based care model and competitive bonuses are structured to reward outcomes, drive low hospital admissions, deliver preventive medicine, and result in an unmatched patient experience.
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Additional responsibilities may include analysis of proteomics or other data modalities depending upon project needs. Those with experience integrating multi-modal data (, scRNAseq + scATACseq, spatial RNAseq + spatial proteomics) are especially encouraged to apply.
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In this role, the Senior Fullstack Engineer will leverage Java, Springboot, React, Kubernetes, Databricks, and AWS services to build a brand new web based workstation to be used by Data Engineers and Machine Learning Engineers.
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big data learning jobs Title: machine learning engineer in Waukegan, IL
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