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The position shall evaluate and apply new remote sensing and associated technologies (e.g., new sensors and platforms, software technologies, data processing and analysis methods, data mining, geospatial modeling, UAV data extraction and interpretation, etc.
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Our team is looking for an applicant that can apply remote sensing/geospatial technologies to address natural resource applications including change detection, monitoring, extraction and classification of information from imagery using supervised/unsupervised image classification, data mining and feature extraction technologies, accuracy assessment procedures, and identifying and applying novel approaches to geospatial analysis and modeling.
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Independently and proficiently applies remote sensing/geospatial technologies, approaches, and methodologies to address natural resource applications including change detection, monitoring, extraction and classification of information from multispectral imagery, radar, LiDAR, etc.
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Strong computational skills with the development and evaluation of signal processing and data analysis tools relating to extraction of information from dynamic test results. We are seeking a Senior Dynamic Test Engineer who will support the Dynamic Testing Group in the Enrichment Science and Engineering Division (ESED), Isotope Science and Engineering Directorate (ISED) at Oak Ridge National Laboratory (ORNL) to support dynamic testing of enrichment devices.
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Develop and manage ELT processes for data extraction, loading into Snowflake, and apply transformations using dbt (data build tool) Develop and manage ELT processes for data extraction, loading into Snowflake, and apply transformations using dbt (data build tool.
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Perform extraction, transformation, and load data using ADP Navigator Tool. You would be responsible for successful migration of client time & labor data from a current legacy E-time system into ADP Workforce Manager Product.
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Minimum RequirementsCompetencies and Knowledge:For all levelsExperience with analytical / statistical programming tools for data extraction and summarization, statistics, visualization and analysis (Alteryx, SAS, SQL, R, Tableau, etc.
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Tasks will focus on molecular biology and analytical chemistry experiments and procedures (e.g., nucleic acid extraction, serial dilution, PCR, and running analytical chemistry instrumentation) with associated collection, analysis, verification and recording of data in accordance with established protocols and work instruction documents, regulations, safety requirements, and the quality system.
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Excellent understanding of NLP techniques such as tokenization, entity extraction, language models (BERT, GPT), etc. We are looking for a highly motivated Lead Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join Strider’s Engineering team.
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Participating in the laboratory’s quality assurance plan, adhering to quality control and preventive maintenance policies and appropriately documenting these activities.
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Build internal and external reporting for the output of risk metric calculation using data extraction tools, such as SQL, and data visualization tools, such as Tableau. We are a dynamic team of talented developers and architects who partner with business areas and other technology teams to deliver high profile projects using a raft of technologies that are fit for purpose (Java, Cloud computing, HDFS, Spark, S3, ReactJS, Sybase IQ, Snowflake, Tableau among many others.
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Acts as a data steward, assuring completeness, accuracy, internal consistency, and timeliness of databases and establishes data integrity by coordinating the data extraction and data entry process.
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Curaleaf International is the largest vertically integrated cannabis company in Europe with a unique supply and distribution network throughout the European market, bringing together pioneering science and research with cutting-edge cultivation, extraction and production.
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Developing analytics to support data driven decisions made by Senior Leaders, collaborate with other team members in data extraction and report development, and effectively communicate complex financial and operational information.
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Perform data extraction and analysis, including monitoring and testing functions, using Excel queries and generation tools. Requires: Master's Degree in Information Technology Management or Equivalent, plus at least six months of data science experience, and proficiency with Python, Jira, SQL or MS Power Automate, Tableau, and Excel queries.
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extraction job in Salt Lake City, UT
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