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Clinical Research Coordinator will recruit and perform study visits, enter data, resolve queries, facilitate specimens collection and shipment. The position will help advance the research mission of ACE-WS and show vigilance in patient safety, protocol compliance, and data quality.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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One or more of the following credentials or certifications is required: CPA License, Levels 1 & 2 of the CFA exam, JD, PhD, MBA or Master’s degree in Accounting, Finance, Tax, Quantitative Statistics, Engineering, Corporate Engineering, Information Systems, Financial Engineering, Economics, Real Estate Finance or Hospitality, Enrolled Agent (EA), State Certified Appraiser License.
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Contribute to the development of metrics and collection of data to help PHMC public health programs measure the impact of its DEI policies and procedures. Collaborate with the Director to provide support for systems and processes used in PHMC financial management and grant disbursement.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Surgeon education in programming and basic statistics (applied not theoretical)Prepare grant applications including organization of purchase orders and data use agreementsSupervise student, residents, fellows, lab membersContribute to preparation of manuscripts, presentations, posters specific to complex data bases for outcomes research.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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This position will support community relations programs, volunteer projects, community events, various internal and external communications, database management, and impact data collection and analysis.
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Their responsibilities include: Installing, testing, troubleshooting, repairing or replacing cryptologic networks, physical security systems, electronic equipment, antennas, personal computers, auxiliary equipment, digital and optical interfaces, and data systems Configuring, monitoring and evaluating Information Operations (IO), Information Warfare (IW) systems and Information Assurance (IA) operations Cryptologic Technician Collection (CTR) - CTRs serve as experts in intercepting signals.
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At least two (2) years of experience with Databricks - Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS - Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
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Experience with data collection and investigation in Cloud technologies. Utilize eDiscovery and forensic software to perform collections of electronically stored information (ESI) from data sources including email archives, document management systems, network drives, and other repositories in response to legal preservation, discovery, and enterprise investigation requests.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
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Tech will include; Embedded Systems, Wireless Data Transfer, MCU, PCB, iOS / Android. Core technology includes -– Embedded Systems, Wireless Data Transfer, MCU, PCB. Tech will include; Embedded Systems, Wireless Data Transfer, MCU, PCB, iOS / Android.
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Familiarity with data governance, data cataloguing tools (Collibra, Talend Data Catalogue). Ensure data governance and data cataloguing standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue.
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The Sportsbook team here at Penn is responsible for working hand-in-hand with our Data Science, Engineering, and Data teams to support efficient development and deployment of models, forecasts, and simulations to help improve theScore Bet and ESPN Bet. Our team values creativity, collaboration, ingenuity, and ownership.
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data collection statistics jobs in Pennsauken, NJ
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