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Flagship Labs 97 Inc. (FL97) is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method.
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PhD degree in biomedical informatics, computer science, information science, computational linguistics, statistics, data mining, or a closely related field; or an MD/PharmD with demonstrated strength in Biomedical Informatics research.
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Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
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Requirements: Candidates should hold a Bachelor’s degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field with a background in signal processing.
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University degree or equivalent demonstrated education and/or work experience in fields such as Computer Information Systems, Software Engineering, Information Technology Management, Computer Science, Systems Engineering, or Information Systems/Application Security Architecture.
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Must have Master's degree or foreign equivalent in Computer Science, Computer Engineering, Electronic Engineering, or a related field and 2 years experience in the proffered position, or as a Developer, Software Engineer, Technology Analyst, Programmer Analyst, or related occupation.
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A particular focus of the group is to design robust, responsive, and integrated multimodal urban mobility systems based on advanced data analytics and artificial intelligence, behavioral science, and transportation technology, and building on the MIT Transit Lab’s decades of collaboration with leading global transportation agencies and operators.
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Or, alternatively, Master's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal Software Engineer/Developer (or closely related occupation) performing database, Python, and ETL application development in an enterprise application development environment.
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Applicants should possess a PhD in a relevant discipline (computer science, machine learning, epidemiology, electrical engineering, or applied mathematics) and have established an excellent research profile in signal processing or machine learning.
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Contribute to an innovative culture that strives for out-of-the-box thinking and creative approaches on analytical solutions beyond traditional models in the area of data science artificial intelligence, machine learning methods, algorithms/model development, validation and tools to drive impactful business decisions.
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PhD in Physics, Chemistry, Materials Science, Computer Science, Applied Mathematics or related fields by the time the appointment begins. The Materials Intelligence Research group of Prof. Boris Kozinsky at Harvard University is seeking researchers at the postdoc level to develop and apply first principles and machine learning methods for computational materials physics and chemistry.
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7+ years ofquantitative expertise: statistics, mathematics, and computer science (python / SQL required) This high-profile group works across all of Investment Management as well as with our other internal stakeholders including product, actuarial, treasury, accounting, risk, compliance, and external partners, including our primary asset management subsidiary Barings and the major Wall Street derivative broker/dealer counterparties.
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Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) using R, SQL, Python and Tableau to mine social media data and derive analytics and insights that support data-driven, strategic business decisions.
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Partner with Business Intelligence team to develop and maintain the stack of enterprise digital reporting, analytic tools and dashboards including governance. Working knowledge ofdashboard data visualization including: AWS Quicksight, Google Looker, and/or Microsoft Power BI.
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Master’s degree in Bioinformatics, Computational Biology, Biostatistics, Data Science, or related field with 3-5 years’ experience working directly with metabolomics and other -omics data. PhD in Bioinformatics, Computational Biology, Biostatistics, Data Science, or related field.
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computer science artificial intelligence jobs Title: full stack software engineer in Wakefield, MA
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