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The Global Manufacturing Excellence organization will be the center of excellence in Global Manufacturing under Downstream business line within This Company for Digital transformation, Artificial Intelligence technologies and data science.
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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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Work across all phases of the Agile and Waterfall lifecycle for the design, development, testing and implementation of Master Data Management, Data Governance, Data Analytics and Data Integration solutions for enterprise-level clients.
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Master's or PhD in Analytical Chemistry with industry experience, at the Senior Scientist level typically with 4-8+ years industry experience. As a member of our analytical team, you will play a crucial role in developing and optimizing mass spectrometry and liquid chromatography methods, performing routine analysis, and contributing to technical data reporting and presentations.
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You will construct semantic layers for Looker, MicroStrategy, Tableau, and In-House Tools on top of our big data warehouse, making sure the data is represented to analysts in an accurate, consistent, and performant way.
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Work From Home, Entry Level Data Entry Clerk As A Research Participant. Data entry skills. This is a remote work from home part time gig, you'll need a computer, laptop or mobile device.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. What You'll Do Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company) Collaborate with client data science teams to enhance, scale, and operationalize existing models.
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The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care.
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Assist in data review and writing water resources and geochemistry sections and/or reports for NEPA and/or baseline documents. Bachelor’s degree in hydrology, hydrogeology, environmental science, environmental policy, environmental planning, or related field, and at least 5 years of related experience.
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We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. + Preferred Qualifications: PhD degree with 4+ years experience in computer science, computational biology, bioinformatics, biomedical informatics, genetics, statistics or related fields with a strong publication record.
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Our Entry-Level Engineers and Planners may expect to build a career foundation through a wide variety of experiences. Conduct site visits and collect field data. Traffic Operations Analysis–HCS, Synchro/SimTraffic,Vistro, VISSIM, and/or Sidra.
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The Patent Group in the Seattle office of Davis Wright Tremaine is seeking a junior to mid-level patent attorney with at least two years of patent preparation and prosecution experience. To apply please upload a cover letter addressed to Aglaia Galimanis, Attorney Recruiting Manager , a resume, a copy of your law school transcript, and a writing sample (preferably a patent application in the field of computer science unedited by a 3rd party.
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Summarize and present scientific data; report results to project teams. Perform hands-on experimental work in the development and optimization of upstream (cell culture and transfection conditions) and downstream (clarification, tangential flow filtration, chromatography) unit operations for viral vector production.
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Experience with a data catalog tool such as Alation, Collibra, or Informatica Axon. 5+ years of hands-on experience in Data Stewardship, Master Data Management, Data Quality, or Metadata Management field.
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entry level data science jobs Title: entry level Company: Synergisticit in Seattle, Washoe-county, Nevada
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