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based at IVM and collaborate with other researchers in the USA, Germany and the UK who will be recruited for this project. Your main tasks are to: Design and apply theories from the fields of behavioural
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)national scientific meetings Writing scientific papers Work in an interdisciplinary team with other students and scientists to discuss, plan and perform research Finish the project with a scientific
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possession of an Article 9 qualification (authorization to design and conduct animal experiments), or willing to obtain this certification through training; fluency in English and willingness to learn Dutch
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. Your teaching load may be up to 10% of your working time. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . At
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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approach that will be used is Challenge-Based Learning (CBL) in which multi-disciplinary teams of students learn by conducting research and design projects on a societal problem in collaboration with
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processes at the NMJ and their underlying molecular mechanisms. For this, we have designed an interdisciplinary research project where fundamental research groups team up in a new collaboration aiming to
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many approaches in explainable AI and neuro-symbolic methods focus on similar issues, they are prone to learning concepts with the wrong intended meaning, especially when different concepts
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captured from UAVs. The research will address the design of AI models capable of combining heterogeneous sensor modalities, including RGB, thermal, LiDAR, acoustic arrays, GPR, and X-ray backscatter
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to elicit a range of emotions in young children (together with PhD candidate 2) Design and conduct experimental studies inside the lab and in naturalistic settings, using multimodal methods to measure