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Field
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. Candidates will need to have completed their PhD or have it completed by the start of employment. Applicants should upload a cover letter and curriculum vitae and include contact information for at least two
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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an opportunity to gain experience in large-scale primary data collection, community-engaged research, and advanced longitudinal and mixed-method analyses. The fellow will be a key member of an interdisciplinary
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successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given. You will join a large and friendly Mechanical Engineering department and work
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agentic architecture. With prior experience in AI security and AI agents, including prompt injections, data extraction, jailbreaking, poisoning and adversarial attacks, the candidate brings transferable
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The Postdoctoral Research Fellow will contribute to a range of research and research translation activities as part of an Australia Economic Accelerator funded project developing a prototype using Large Language
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University to focus on data collection in the North East. The two research fellows will work closely together. You will have a PhD (or near to competion) in Nutritional Epidemiology or a closely allied
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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30 PhD and post-doctoral fellows, and a large number of master’s students. About the PhD project: The goal of the project is to develop a simulation tool that, based on meterological and map data, can
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synthesis of novel functional materials. Key Responsibilities: Implement data processing pipelines for materials informatics, including large-scale data mining, curation, and processing. Integrate