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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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Teaching responsibilities may include participation in biomedical informatics and computational biology PhD and MS training programs, as well as teaching informatics and data science courses in biomedical graduate programs.
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Certificates/Licenses Commonwealth of Pennsylvania Instructional certificate in Library Science K-12, Elementary Library Science or a letter from a certification officer stating that the student has completed all required coursework and student teaching, has successfully completed ALL PRAXIS and is being recommended for certification.
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IBM Maximo Data migration experience in complex system integration environment Worked as the equivalent of a Data consultant/analyst as all or part of your role with related customer coordination experience in collected data, analyzing data, mapping to data, and finally migration into the target environment and is well versed with IBM Maximo data model and experience of earlier migration from multiple sources.
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Knowledge of clinical data terminologies (SNOMED, CPT, LOINC) Clinical Data Terminologies (SNOMED, CPT, LOINC) PDM (Provider Data Management) knowledge is an added advantage. Knowledge of health data exchange standards (HL7, FHIR, CDA, API, EDI.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Flagging Issues: Identify and flag errors, inconsistencies, or suspicious activity in voter registration data collected from canvassing teams, ensuring high standards of data quality and compliance.
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Qualifications Bachelor’s degree in safety Related Science (Occupational Health, Industrial Hygiene, Fire Protection, Environmental Science, Safety Management, Risk Management, Engineering, or related discipline.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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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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Candidates for this position require an Associate's degree in an accredited Biomedical Applied Science or Electronic Engineering Technology program or related field or an equivalent combination of education, manufacturer certification/s, and experience required.
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Strong proficiency in computational biology, including genomics, transcriptomics, and proteomics data analysis. Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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Other duties as assigned Requirements QualificationsBachelor’s degree with major course work in sociology, social work, psychology, gerontology, anthropology, political science, history, criminal justice, theology, nursing, counseling, education or a related field preferred.
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Coordinating work efforts assigned to the Data Entry, Data Analyst and,Telecommunications Mechanics. o Managers’ Meetingso TSD / Data weekly meetingo TSD National meetingo FPS Regional Conference callso Alarm Monitor / Dispatcher Supervisory meetingso Corporate conference callso New hire selection processo Individual employee meetings.
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Basic Knowledge of NEPA procedures and requirements · Knowledge of Section 106 procedures and requirements · Working knowledge of GIS · Basic Understanding of either the NEPA and Section 106 processes, or MasterWorks PREFERRED QUALIFICATIONS: · Advance degree in data science, computer science, statistics environmental science, engineering or other applicable field.
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mit data science jobs Title: consultant in Philadelphia, PA
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