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Works closely with other members of the team to understand data processing challenges and provide custom solutions for spatial and single cell sequencing relating to gene expression, proteomics, metabolomics and pathway analyses to expedite scientific projects and drug discovery process.
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Specialization: Machine Learning/Data Science. 90% Machine Learning / Data Science. Relevant data science skills. Bachelor's, Master's degree, or Ph. D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc.
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Master's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems or related field(s). Job Title: Adjunct Faculty, Computer Science - Programming.
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At the LPI, the successful candidate will enjoy interactions with the diverse Science Staff, scientists at the nearby ARES Division (JSC), and with faculty of nearby universities such as Rice University and the University of Houston.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Bachelor's degree in Animal Science, Food Science or Biological Science from four-year college or university. Demonstrate the ability to define problems, collect data, establish facts, and draw valid conclusions.
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Depending on your experience level, your work scope may extend to include a similar scope of product and application development for carbon materials in batteries About you Skills and Qualifications B.S., M.S. or Ph. D. in Materials Science, Electrochemistry or Chemical Engineering +5 years working experience in the development and testing of cathode material such as LFP, LMFP, NCA, NMC etc, fabrication of coin and pouch cells, cell testing, and electrochemical data analysis.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Experience in working with data classification and protection, server & endpoint security platforms (e.g. AV, encryption, HIPS), enterprise security event log management, OS/platform security standards, vulnerability management, and data loss prevention.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Cloud Integration ETL Tools, Cloud Data Warehouse, SQL, DBT, AWS Services Lambda, SNS, SQS, Event Bridge, and IoT core.
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Vast experience in data extraction and collection from websites, APIs, databases, and cloud platforms (AWS S3, Azure, Snowflake). Bachelor degree in Computer science, Engineering, Finance, or Quantitative Finance.
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Demonstrated experience related to AML, Know-Your-Customer (KYC), Transaction Monitoring, and Sanctions data, technology, and deep analytics experience. Data analytics project experience related to one or more of the following: transaction monitoring data analysis and system implementation, development of customer risk rating models, customer segmentation, threshold tuning, customer/account/transaction data modelling, management and quality assessment, model validation, and/or Know-Your-Customer data remediation.
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Lead Data Governance Initiatives: Drive initiatives related to Master Data Management, Data Security, Data Quality, Data Retention, and Data Definitions and cataloging.
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Import/export data between Petra and SMT projects. Essential Job Responsibilities: Create input data, update and maintain Petra and SMT projects. Populate and manipulate data in Excel and Access, importing formation tops, perfs, pressure and production data into PETRA software.
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Our Corporate Technology Machine Learning team at JPMorgan Chase focuses on solving challenging business problems such as Anti-Money Laundering and Surveillance through data science and machine learning techniques across Risk, Compliance, Conduct and Operational Risk. As a Lead Data Scientist on the team, you'll shape the technology solutions that drive strategic initiatives across the firm.
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data science jobs Company: Dow in Houston, CT, Tennessee
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