22 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Utrecht University in Netherlands
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quantitative research and data analysis, with openness and desire to learn and apply diverse data sources (e.g., lab and survey experiments, surveys, administrative microdata) and methodologies (e.g., multilevel
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. Work Style: Independent, well-organized, and eager to learn new skills. Teamwork: Strong interpersonal skills, a collaborative mindset, and a flexible approach to work. Language Proficiency: Fluency in
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are recommended, teachers may question how these accommodations align with their learning objectives and whether they are fair to other students. This study engages neurodivergent students in participatory research
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Mathematical Institute which is part of the Department of Mathematics . We organise and teach the Bachelor's curricula in Mathematics as well as the (English-taught) Master's programme in Mathematics and some
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in empirical research and you have skills in quantitative analysis; You have experience in teaching academic courses; You hold a Basic Teaching Qualification (BKO) or are willing to acquire
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to innovation and transition in action. Next to working in the context of the larger Ombion-CPBT project, as a PhD researcher you will have the opportunity to acquire and develop reflexive, participatory and
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(longitudinal data analysis and/or multi-level analysis). You have experience in teaching academic courses; You hold a Basic Teaching Qualification (BKO) or are willing to acquire this qualification in the near
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excellent academic record and demonstrate proven enthusiasm for academic research. You are familiar with qualitative research methods (ethnography, in-depth interviewing). Candidates willing to learn
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, experimental designs and applying (multivariate) statistical techniques; excellent written and verbal communication skills in English; independence, eagerness to learn and the ability to work in an
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their future in Zeeland, considering the presence of hazards, and how they adapt to the current and future changes of the environment. The PhD project is a pilot for an interdisciplinary learning trajectory of 4