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only of storing information, but also of manipulating, organising, and retrieving it through molecular data structures analogous to those used in computer science. Building on our pioneering experimental
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Data Engineering Lead Department Data Location Hybrid with Ormskirk base Salary £46,049 to £51,753 per annum Permanent Post Type Full Time Closing Date Tuesday 30 June 2026 Reference EHA2657-0526-EX
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
leading a team of Data Scientist Interns seeking to gain relevant skills and experience in data science that align with their course requirements. These interns will provide computer programming solutions
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Are you interested in Data Science and Digitalization in Smart Farming and can you contribute to the development of digital farming? Then the Department of Electrical and Computer Engineering
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Systems Engineering Department (TSED) within the Information Advantage Office of the Applied Research Laboratory (ARL) at Penn State. The TSED is focused on ensuring that systems under development
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Description The McKetta Department of Chemical Engineering at The University of Texas Austin is seeking to fill a senior faculty position, with a focus on industry-relevant research and teaching for
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the external career center. Position Details Title: Assistant Professor, Information and Technology Management Duties: Teach three four-credit-hour courses at the graduate and undergraduate levels each semester
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of Mathematics, Statistics, and Computer Science. Additional information about our curriculum and faculty can be found at https://www.lawrence.edu/academics/college/data-science-and-statistics . Candidates should
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Data Engineering • Design, develop, and implement Microsoft Fabric data lakes, enterprise data warehouse, and BI solutions leveraging various enterprise data warehouse methodologies, models, and
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Registry, Clinical Research Management System (CRMS), and Electronic Health Record (EHR) systems. This position supports a variety of clinical research workflows with a focus on data engineering, analytics