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Job Description The Centre for Software Technology (CST), part of Maersk McKinney Moller Institute in the Faculty of Engineering at the University of Southern Denmark (SDU), invites applications
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to NLP, KGs, and Digital Cultural Heritage research. Stipend 1: Applicants for the position in the Department of Computer Science must have: • A relevant MSc degree (e.g., Computer Science, Software
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software development, including version control, testing, and reproducible research workflows; familiarity with CI/CD practices is an advantage. Experience with supervision of BSc and MSc student projects
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Experience with firm level econometric analyses or with processing of large firm level datasets will be an advantage, but it is more important that you have experience with software tools such as Stata, SAS, R
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student to work within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). The project will leverage Large Language Models (LLMs) as active software agents to help automate
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. Experience working with deep learning software stacks, extensive software development experience, and knowledge of machine learning frameworks (such as transformers, torch, Megatron, triton etc.) are pluses
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project will develop a methodological framework for reliability-based structural design and integrity management of the support structure of the subsea HVDC electrode unit, supported by experimental tests
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of demographic methods and experience with software such as R, or similar tools; be eager to learn new demographic methods. Further information about the position can be obtained from Head of Administration Astrid
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feedstock utilization to produce novel food products. Test data at scales for SCP production simulation needs. Generate a database for feedstock to protein combinations with corresponding sustainability