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PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 1 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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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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The Algorithms, Machine Learning, & Data Science Group within AES Advanced Tech Team creates advanced algorithms in the fields of machine learning, artificial intelligence, signal processing, intelligent control, and other areas of electrical engineering and computer science that are of strategic interest to the AES Business Unit’s goals and roadmaps.
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MSc/Ph. D. in Computer Science, Robotics, Electrical Engineering, Physics, Mathematics or a related technical field with a significant component of computer vision and machine learning in the curriculum/research.
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The team leverages its experience in the fields of signal processing, computer vision, computational linguistics, machine learning, artificial intelligence, communication systems, and other areas of electrical engineering and computer science to create impactful solutions.
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The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Principal Scientist Engineering page is loaded. Job Title: Principal Scientist Engineering. Principal Scientist Engineering. The successful candidate will work in a cutting-edge scientific global engineering department in Sanofi’s R&D CMC Synthetic organization.
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A bachelor’s degree in a related field (e.g., Data Science, Statistics, Computer Science, Applied Mathematics, Economics). The Data Scientist will be expected to create, perform, and document quality assurance of datasets, including the creation and documentation of formal test plans for unit and integrated data integrity testing.
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Lead and/or participate in the evaluation, implementation and deployment of emerging tools and processes including but not limited to analytics, data engineering, data quality, data governance, AI and GenAI.
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REQUIREMENTS: BS in geology, hydrogeology, environmental science, or environmental engineering required. Review groundwater chemistry data and prepare figures/exhibits to support regulatory reporting.
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Doctorate in chemistry, chemical engineering, materials science, or related fields with 5+ years of industrial/academic experience. SES is seeking a talented Senior Scientist, Materials Characterizationa and Mechanistic Understanding to join our team.
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As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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3 years of data engineering, data management, data transformation and data manipulation experience using Apache Spark, Hive and Hadoop; Handle data sets from disparate sources using appropriate engineering methodologies, computational frameworks and cloud-based systems; and.
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We're in search of a Scientist or Senior Scientist with expertise in synthetic biology, molecular biology, chemistry, or chemical engineering. A required PhD in synthetic biology, molecular biology, biochemistry, chemical engineering, or a related discipline, showcasing your strong academic background.
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We are seeking a highly skilled Principal Data Scientist who can perform and advise on technical analyses across the spectrum of research areas engaged by Pearl’s Data Science and Analytics team.
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entry level computer engineering data scientist jobs Title: data analyst in Boston, MA
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