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Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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Ph. D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field. + Stay informed with emerging literature and science in the modeling and simulation sciences.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Bachelor's degree (or foreign education equivalent) in Computer Science, Computer Information Systems, Computer Information Systems and Information Technology, Engineering, Information Technology, Mathematics, Physics or a closely related field and three (3) years of experience as a Senior Data Engineer (or closely related occupation) performing Informatica ETL and Oracle database development to support HR data engineering capabilities in a financial services environment.
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Other Qualifications: Master’s degree in computer science, information systems, data science, analytics, statistics, economics, public health, biostatistics, epidemiology, social science, mathematics, or relevant field preferred.
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Skills and Experience: Required: Active TS/SCI Security Clearance Bachelor’s degree or higher in Systems Engineering or in a related technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or related equivalent additional experience.
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Who you areYou will have a BS, MS, or PhD degree in the physical sciences (e.g. Chemistry, Physics, Chemical Engineering) or quantitative field (e.g. Computer Science, Statistics, Applied Mathematics) or equivalent industry research experience.
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Knowledgeable in electronic medical records, preferably EPIC. Minimum Qualifications: A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study.
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Education: Master’s degree in Analytics or other STEM field (Data Analytics, Data Science, Computer Science, Data Engineering, Applied Mathematics) #LI-Remote.
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Solid foundation in finite element analysis, solid mechanics, and applied mathematics. Required Qualifications: PhD in Mechanical Engineering, Electrical Engineering, Ocean Engineering, Applied Mathematics, or Applied Physics (minimum.
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Postdoctoral Scholars - Environmental Science / Data Science. The Eric and Wendy Schmidt Center for Data Science & Environment (DSE) at UC Berkeley, along with an opportunity from our partners in the James M. and Cathleen D. Stone Center for Large Landscape Conservation, is accepting applications from recent PhDs in environmental science and/or data science fields interested in providing domain specific research that informs the development of data enabled solutions to our most pressing environmental challenges.
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Master's, or Ph. D. degree in Computer Science, Electrical Engineering, Bioinformatics, Computational Biology, Statistics, Physics, Mathematics, or a related field. SequLITE Genomics (a subsidiary of Fapon Biotech) is a growing life science company developing an NGS platform to enable sequencing for everyone.
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Department Summary Teach North Texas (TNT) is an undergraduate secondary mathematics, science and computer science teacher education program at UNT and is one of over 50 national UTeach replication sites.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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BSc/MSc graduate in the field of engineering, computer science, applied mathematics, physics, statistics, or relevant field of study. Collaborates with NPM's staff across Clinical Science, Digital Health, Software Engineering, Data Science, and Informatics to detail AI model functionality and requirements to significantly increase efficiency in the areas of document control, clinical information extraction, information synthesis and clinical note preparation.
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data science applied mathematics jobs Title: postdoctoral Company: Berkeley Lab
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