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Research Council (NHMRC, Australia), aims to provide new research evidence about the neurobiology of paediatric speech and language disorders of genetic origin. The project involves (i) measuring cognitive
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Hours per Week: 20.25 Date Posted: Thursday 18 April 2024 Closing Date: Thursday 02 May 2024 Reference: SCT353 A Postdoctoral Research Fellow position is available in Large Language Model Machine
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with expertise in applied graph theory, to work on a project funded by the Alzheimer’s Association investigating linguistic networks in individuals with early-stage Alzheimer’s disease. We offer a
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surveillance, identifying new emerging resistance that can be acted on before it becomes widespread within a population. The successful applicant will develop a Large Language Model (LLM)-based tool
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strong quantitative component. Ability to programme in a suitable language, such as R (preferred), Python, C/C++ or Visual Basic is essential. Further particulars are included in the job description. The
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with a strong quantitative component. Ability to programme in a suitable language, such as R (preferred), Python, C/C++ or Visual Basic is essential. Further particulars are included in the job
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on before it becomes widespread within a population. The successful applicant will develop a Large Language Model (LLM)-based tool for predicting mutations causing resistance trained on features derived from
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reinforcement learning, multi-agent learning, language model agents and causal learning are encouraged to apply. Inter-disciplinary research experience and project management experience are preferred. You will
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intelligence (AI) based algorithm, establishing radio propagation model, and conducting network planning and optimisation. The knowledge of the latest ML/AI model, e.g., large AI model, large language model (LLM
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Speech and Language Therapy with first or upper second class or equivalent. Understanding of ethical conduct of research. Experience of working with people with brain injury. Experience of communicating