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Field
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) in Psychology, Cognitive Science, Computational Linguistics, Linguistics, Computer Science, or a related field. Strong quantitative, statistical, or computational programming skills (e.g., R, Python
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expertise in large language models, foundation models, or modern AI systems and they will possess sufficient specialist knowledge of LLMs, foundation models, deep learning, NLP, mechanistic interpretability
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language models, multi-agent systems, reinforcement learning and knowledge evolution, evaluated using industry operational datasets. These positions offer an opportunity to advance autonomous decision-making
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encouraged to apply for the position. Aalborg University has a policy of parallel language use. International staff are encouraged, with support from the university, to learn Danish during their employment in
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cognitive science, cognitive psychology, developmental psychology, or ethology is expected. Proficiency in a programming language (e.g., Python, Java), as well as in data analysis (e.g., R, MATLAB), will be
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language models (LLMs) and vision-language models (VLMs), you will investigate AI behavior, develop innovative evaluation methods, and translate scientific insights into real-world applications that improve
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FieldEngineering » Materials engineeringYears of Research Experience1 - 4 Additional Information Eligibility criteria Knowledge of physical and/or mathematical modelling; Knowledge of differential equations
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command of English or German and a good command of the other language (which must be demonstrated within one year), as well as of a Slavic language or Modern Greek. Excellent knowledge of theology and
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skills and strong publication records to apply. Some skills in analyzing/evaluating large data sets are highly desirable. Knowledge of an advanced programming language such as MATLAB, Python, etc. is
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parental leaves, military service etc.) Excellent/good skills in oral and written English. English is used as the language of instruction and supervision in this position. Expectations: A formal background