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Field
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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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Job Reference: 1028657 Curtin University invites applications for the position of Research Fellow within the WA School of Mines: Minerals, Energy and Chemical Engineering (WASM:MECE) . This role
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School of Mechanical and Mining Engineering – Faculty of EAIT Full-time (100%), fixed-term position for up to 21 months Base salary will be in the range $114,824.05 - $136,048.72 + 17
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School of Mechanical and Mining Engineering - Faculty of EAIT Full-time, fixed-term position for up to 2 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation
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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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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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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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research projects focused on generating, analyzing, visualizing, and mining real-world (e.g., EHRs) and experimental data that profile the molecular state of human cells and tissues using interactomics
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, data mining, Bayesian methods, and statistical learning About Working at the Crick Our values We are bold. We make space for creative, dynamic and imaginative ideas and approaches. We’re not afraid to do
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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