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Intelligence, Computer Engineering, or a related field. Possess 3 to 5 years of related working experience. Proven hands-on experience building and evaluating Machine Learning and Large Language Models. Strong
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: Train Your Dragon: Fine-tuning Large Language Models to Create Agentic AI for Automatic Assessment Generation Project Introduction: This position involves two closely related research strands
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or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field. Proven experience in large/small language model development or AI-enabled software development Strong programming
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role will also play a big part to transform the current data platform technologies into cloud based. This is a hands-on leadership role and the candidate should have been on active hands-on development
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Responsibilities: Design and develop statistical methods for high-dimensional omics data, including multi-level data (subject, tissue, single-cell) with or without spatial features. Analyse large-scale omics
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on computer vision. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in computer vision, such as Multimodal Large Language Models and
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advanced machine learning, with a focus on recommendation systems, graph neural networks, and multimodal AI, by designing novel models and methodologies, and leveraging large-scale structured and
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. • Contribute to continuous improvement of project management systems, particularly for large scale modelling and data intensive programmes. e) Strategic Growth and Portfolio Development • Support the Principal
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are safe for their targeted settings. Key responsibilities: Design and implement safety and alignment strategies for Large Language Models (LLM). Develop guardrails and safeguard models. Analyse failure
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology