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on behavioral lab experiments but may also include other empirical approaches depending on how the project develops. During the PhD, you will: Learn how to combine theory-driven empirical sociology with
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strong analytical and mathematical skills; take part in ongoing educational activities, such as assisting in courses and guiding student theses at the BSc or MSc level; be an active participant in
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degree in Biomedical Sciences, Molecular Biology, Physiology, or a related field. Affinity with stem cell and cardiac biology – You have experience with, or a strong desire to learn, hiPSC culture
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the project develops. During the PhD, you will: Gain expertise in theory-driven empirical sociology Learn to derive hypotheses from deductive theoretical reasoning through formal methods on sociological
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for a talented, motivated and enthusiastic researcher. Analytical skills, initiative and creativity are highly desired. Ability to work in an interdisciplinary team and interested in collaborating with
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time to teaching in the context of the Sociology programme at Radboud University. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
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-academic stakeholders Strong interest in interdisciplinary research, including analytical and theoretical dimensions Professional competence in English Competence in Dutch is a plus Proficiency in
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- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute to a corpus of geo-analytical scenarios with
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person with a genuine passion for both fundamental and applied research. You are curiosity driven, and have strong analytical and problem-solving skills. You are eager to learn new skills to combine