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and data mining tools, and be able to work on group software projects using modern tools and environments. Interest in applying AI within the defence and security sectors is essential, but experience in
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ensure the integrity of the database. We also expect this position to help maintain the FRST website (soiltestfrst.org), develop grant proposals, assist collaborators in collating and publishing data, mine
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Framework (RDF). enables advanced data mining queries using the SPARQL query language. provides a natural language-based interface to perform these queries on the knowledge graph using a large language model
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first author publications in reputable peer-reviewed journals Advanced quantitative skills (e.g., advanced stats [MLM], machine learning, data mining). Willingness to develop desired skills (see directly
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for interacting with colleagues and stakeholders. Department Specifics Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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have experience in computational neuroscience and data mining using machine learning methods. The successful candidate will lead an independent research project dedicated to identifying abnormal neuronal
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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key leaders in the field of applied R&D. The main areas of activity will be, but not limited to: Chemical and biotechnological processes Urban mining Material processing technology Sustainable energy
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of software engineering techniques to ensure interoperability of their modelling and mining ecosystem. This position will run from October 2025 (or shortly after) and it has an expected duration of 24 months. A
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laboratory notebook; conduct data mining. Analyzes research data and summarizes results. Writes and may contribute to research papers, articles, and publications. Write research reports, presentations and