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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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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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synthesis of novel functional materials. Key Responsibilities: Implement data processing pipelines for materials informatics, including large-scale data mining, curation, and processing. Integrate
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. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . Harvard Academic Workers Union
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programming/scripting capabilities. Skills in data science, artificial intelligence, large language models, and high-performance computing. Strong written and verbal communication skills regarding research
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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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techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both keyword-based search and SPARQL querying. EPRESSO will build on and
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and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion or near completion of a PhD
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for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in