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resources engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Experience with hydraulic modelling, optimisation libraries, uncertainty quantification, data science, machine learning
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develop an AI-enhanced Human-Machine Interface (HMI) that enables a more intuitive and adaptive use of the system in home settings. The goal is to create a supportive solution that can adapt to changing
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to contribute to high quality, large-scale undergraduate education. Job description As Lecturer, your responsibilities will be centered around teaching and education. You will: Teach quantitative courses in Year
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, ontology engineering, formal logic, knowledge graphs, data annotation, user interaction, cognitive modelling; Knowledge of, or interest in, agentic AI, NLP, HPC, LLMs, machine learning; Strong programming
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at Technology Readiness Level (TRL) 6, the system has demonstrated its potential to support people with limited arm and shoulder function. Your task will be to explore and develop an AI-enhanced Human-Machine
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to interdisciplinary research fields in areas as varied as human-computer interaction, decision-making, data science, social and environmental psychology, and perception. You have expertise in research methods
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research for the foreseeable future. There is a large interest from researchers, industry, and students. LIACS has a strong multidisciplinary AI portfolio (Machine Learning, Human-Computer Interaction
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science, including experience with machine learning and high-dimensional data; you have demonstrable expertise or affinity with nutrition and health research; you have a proven ability to publish high
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experiments and computer simulations of stochastic nonlinear dynamical systems, with a balance to be determined by your interests and skills. For both experiments and simulations, you will learn all
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curve modelling, machine learning, large language models); You have excellent English communication skills (oral and written). Basic Dutch understanding and speaking skills, or a willingness to learn, are