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Field
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quantitative skills Proficiency with statistics and data analysis Familiarity with a programming language such as R Willingness to collaborate with other postdoctoral researchers, students, agency and university
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The Princeton University WET LAB (https://ren.princeton.edu/) is seeking a postdoctoral research associate(s) or more senior researcher(s) with expertise and interest in Large Language Models (LLM
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Excellent communication skills in English (written and spoken), as it is the working language in the institute. The appointment of PhD candidate will be for 3 years (aligned with MPI Sus-Mat’s doctoral
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. Relevant language skills are desirable, but not a requirement for the post. Preference may be given to candidates who have experience of working with national and international archives that are relevant
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The Faculty of Linguistics, Philology, and Phonetics is seeking to recruit a Postdoctoral Research Associate to carry out research on the acquisition of French syntax, as part of Prof. Sam Wolfe’s
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skills for this position. Specifically, the PA will use generalized additive mixed-effects models to analyze data from existing and ongoing projects. Fluency with the R programming language is essential
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algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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the field ‘Diploma’: a transcript of the required degree (if already in your possession). If you have a foreign diploma in a language other than our national languages (Dutch, French or German) or English
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(if already in your possession). If you have a foreign diploma in a language other than our national languages (Dutch, French or German) or English, please add a translation in one of the mentioned languages