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to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
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. Adapt, develop, and learn new engineering and simulation tools, software, and laboratory methodologies relevant to nanosatellite payload design, integration, and testing. Lead the manufacturing and
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‑on experience in AI / machine learning development (excluding PhD); proven expertise in machine learning and generative AI methodologies (in the range of: LLMs, RAG systems, agentic AI, feature engineering, model
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Award summary 100% home fees covered, and a minimum tax-free annual living allowance of £21,805 (2026-27 UKRI rates). Overview Artificial Intelligence (AI)-driven decision engines are increasingly
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. The option for career-enhancing work may be offered to a candidate who has clear motivation and ability for such work, and if the Department deems it necessary. This will be clarified with the candidate during
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with the same information and operational constraints. The project will also explore how AI can be used to approximate, accelerate, contextualize, or enhance optimization, for example by learning future
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26 Aug 2026 Job Information Organisation/Company Adelaide University Department Future Industries Institute Research Field Technology » Medical technology Engineering » Biomedical engineering
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master’s (or international equivalent) in a relevant science, mathematics or engineering related discipline. Demonstrated excellence in fluid mechanics, machine learning, or both. Experience in programming
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25th September 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Deep Learning Enhanced FSI analysis of Modular Floating Structures PhD
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/titles/133564 Job Level P2 - Professional Business Title (Internal Title) Pre‐Award Grant Dev. Spec. Campus Columbia Work County Richland College/Division College of Engineering and Computing Department