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Are you interested in making the processes for building machine learning models more transparent and explainable? Would you like to work in interdisciplinary teams to uncover the needs of clinical
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advanced motion planning algorithms with machine learning techniques, such as reinforcement learning, imitation learning, and task generalization. You will focus on designing intelligent robotic systems
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the Department of Machine Learning and Neural Computing (MLNC) at the Donders Centre for Cognition (DCCN) and the School of Artificial Intelligence (AI), both part of the Faculty of Social Sciences of Radboud
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. Research methods include computational modelling, brain imaging (fMRI), machine learning, behavioural methods, and other techniques. Virtually everything we sense, think and do is uncertain. For instance
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analysis in R or similar (e.g. mixed models, machine learning). Preferably, you have experience with collecting neuroimaging data and/or pharmacological studies. Preferably, you have previous experience as a
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about working as a PhD candidate . Profile You have strong coding and machine learning skills. You are interested in societal applications of AI, especially in education. You have a good understanding of
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that can be used for training machine learning and deep learning models. You will work in tight collaboration with other researchers in Nijmegen, Delft and at the Hubrecht Institute (van Oudenaarden group
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on studies of visual perception and decision-making. Research methods include computational modelling, brain imaging (fMRI), machine learning, behavioural methods, and other techniques. Virtually everything we
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Institute for Brain, Cognition and Behaviour. You will work on studies of visual perception and decision-making. Research methods include computational modelling, brain imaging (fMRI), machine learning
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calculated using our Software Energy Lab, which has multiple test machines with GPUs and, in the future, AI accelerators. Development teams currently lack guidance on how to create sustainable systems. You