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Field
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Preferred expertise in one or more areas: video-language models, egocentric perception, embodied AI Documents to Submit: Resume and cover letter About Khoury College: We invite you to join a fast-moving
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second year pending satisfactory performance and availability of funding. Research topics of interest include large language models with applications to various science and engineering disciplines
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of Speech, Language and Hearing Sciences, with opportunities for collaboration with the IU Bloomington School of Public Health, IU’s O’Neill School of Public and Environmental Affairs, the Indiana University
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background, proficiency in R and at least one additional scripting language (e.g., Python) and knowledge in biostatistics are required. Experience working with genetic association studies, immune repertoire
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failures of transformers as well as advancing the capability and safety of language agents. Responsibilities will include leading research projects, training graduate and undergraduate researchers, assisting
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: In no more than one page, please describe your familiarity and experience with computer programming in general and the C++ language in particular. This may include programming experience unrelated
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science field Language skills: Fluent in written and spoken English and German Cultivation of identification of aerobic and anaerobic microorganisms Profound knowledge of bioreactors and relevant food
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) Proficiency in a scientific programming language (e.g., C, C++, Fortran
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, PyTorch, JAX etc. Experience with modern AI concepts such as large language models (LLMs), vision-language models (VLMs), model context protocol (MCPs), and the development of agentic AI tools. Skill in
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experience conducting survey research online, and have experience working with natural language processing and application programming interfaces, as well as prompt engineering, large language model training