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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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fundamental AI methods together with their software implementations for interpretable statistical fault prediction and lifetime assessment in the context of Structural Health Monitoring of operating wind
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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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). To achieve the goals, you will work in close collaboration with a group of experienced scientists, as well as Postdocs and PhDs all engaged in the Villum Investigator project MicroAM. As a key integration sub
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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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in relevant fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g
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fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g. R, MatLab
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across conditions and integrate phenotypic readouts with functional omics to identify the processes underlying key performance changes. You will work closely with a postdoc evolving these consortia and
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a team of 10-12 people between senior staff, PostDocs and PhD/Master students that are trying to establish the indispensable building blocks for the quantum technology of tomorrow. Responsibilities