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(+/–) applied to the electrodes can be optimised in a machine-learning approach to optimise the gel morphology and the embedded stimuli-transduction pathways towards the targeted mechanical behaviour. Departing
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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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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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While attention to animal health, welfare and rights is growing, little is known on how non-human animals can be represented in decision-making processes. Do you want to contribute to developing post
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communities and the challenges of energy congestion and decentralisation of the energy supply and demand. Your teaching load may be up to 10% of your working time. Would you like to learn more about what it’s
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X-ray spectroscopy, methane isotopes, metagenomics and transcriptomics), combined with reactive transport modelling. Your teaching load may be up to 10% of your working time. Would you like to learn
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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
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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 . Profile You should hold or are about to obtain a
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(Professor of Sociology and Technology at Maastricht University, PhD supervisor). You will also collaborate with Mieke van Houtte (Professor of Sociology, Ghent University). Would you like to learn more about
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to conduct this applied research. Would you like to learn more about what it is like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Profile You have a Master's degree