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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
Department of Genetics invites applications for an IT Analyst/Programmer (Semantic Engineer) in the Translational and Integrative Sciences Laboratory (TISLab.org). This IT Analyst/Programmer (Semantic Engineer
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to cyber-physical contexts and distributed monitoring systems. The research will focus on the design of semantically enriched information structures capable of integrating data from sensors, information
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Your Job: You will join a heterogeneous team of software developers, semantic data engineers, metadata experts, and scientists. Your work will be strongly hands-on and centered around the Helmholtz
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
. The Department of Genetics invites applications for an IT Analyst/Programmer (Semantic Engineer) in the Translational and Integrative Sciences Laboratory (TISLab.org). This IT Analyst/Programmer
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Details Title Lecturer in Linguistics (Semantics) School Faculty of Arts and Sciences Department/Area Linguistics Position Description The Department of Linguistics seeks applications for a lecturer
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate should show good knowledge about semantic
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students to basics of ASL including but not limited to gestures and body language, every day signs and common phrases, verbs and directions, and the vocabulary, syntax and semantics of ASL. What We're
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, and curated semantic datasets for analytics and downstream consumption. Develop scalable transformation and modeling layers using dbt (or equivalent) and data modeling best practices (Kimball
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conditions set out in Article 113 of the Act of 20 July 2018 - Law on higher education and science (Journal of Laws of 2018, item 1668) and the following qualification criteria Where to apply Website http
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and deployment of AI models as well as advanced semantic queries. Existing labelling solutions are suboptimal for labelling Destination Earth (DestinE) data due to their lack of integration with other