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Candidates aiming to integrate modern methods of data science (DS), machine learning (ML) and artificial-intelligence (AI) to accelerate advances in their respective research areas are encouraged to apply.
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The major areas of research currently include theoretical and experimental optical, electronic, and magnetic materials, polymers, ceramics, composites, nanomaterials, energy materials, quantum materials and devices, biomaterials, medical devices, additive manufacturing, data science of materials, and computational materials science.
$11,000 - $15,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The successful candidate will have a proven track record in data science and an in-depth understanding of machine-learning techniques. You will play an important role in building out the data science practice within the engineering group.
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In addition, this role will so have responsibility for helping to develop a more comprehensive and robust data science practice that can be applied to all areas. We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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Background in a relevant scientific area, such as drug discovery, therapeutic development, computational chemistry, computer vision, statistics, artificial intelligence, modeling, simulations computational genomics or biology, statistical genetics, data science, chemistry, or biology.
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In Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required.
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Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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Master’s degree in Data Science, Statistics, Computational Social Science, Communication Studies, Political Science, or a related field. Bachelor's degree in Data Science, Statistics, Computational Social Science, Communication Studies, Political Science, or a related field.
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Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
$90,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for adjunct faculty who can teach Graduate and Undergraduate courses in Information Systems and Technology (General IT, Software Development/Programming/Software Engineering Management, Data Management/Cloud Administration/Database, IT Project Management/Information Systems Management, Networking/Network Administration/Enterprise Network Management, Cybersecurity/Information Assurance/IT Security/Computer Security or Forensic Management.
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Participate in cross-functional collaborations with external companies and internal scientific, clinical, and data science teams. As a postdoctoral researcher, you will have the exciting opportunity to contribute to the development and implementation of advanced AI/ML methods for analyzing images in ophthalmology and retina.
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Specific areas of emphasis are Analytics and Data Science, Wearable Technologies, Paperless, AI, Digital Upskilling, Digital Workforce, and IT/OT. You will interface with site process and flow teams, Tech at Lilly leadership, global MQ Tech at Lilly functional teams, and the broader Tech at Lilly community at a project, application, or program level, and will help with the support of existing solutions.
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Provides complete and consistent documentation of data warehouse content in the Caboodle Console to ensure that users can determine what data is available in the warehouse, how this data is defined, and lineage to Epic Clarity.
$110,000 - $118,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Research Data Analyst position will support the Client Bernard J. Tyson School of Medicine research mission, collaborating with research faculty within the Department of Health Systems Science (HSS) to build a new and growing research program.
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data science in and out jobs Company: Discover Financial Services in Enfield, Connecticut
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