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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in
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to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs
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research environment supported by a team with broad expertise in data science, infectious diseases, hepatology, and clinical informatics. You will take a leading role in analysing large-scale, longitudinal
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programming, artificial intelligence models, data analysis, and large language model engineering. You will work closely with project leads at RCA and academic collaborators at HKPU, contributing to research
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involves interdisciplinary research on the development and evaluation of large language models for low-resourced langauges, primarily focusing on Danish and other Nordic languages. The research will focus
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employees in 5 scientific departments conduct and facilitate top-level research on historic grounds in Berlin-Dahlem, which is unique worldwide. The FHI Theory department is currently looking to fill a PhD
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: FAES
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
, or translational breast cancer research. The successful candidate will lead research efforts using rich molecular and epidemiologic data from the Carolina Breast Cancer Study (CBCS), a large, diverse population
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conferences and the preparation of project reports. Develop and apply software tools. Documentations of software and data according to the FAIR data principles. Contributions to workshops and training