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Are you interested in optical sensors and ammonia (NH3) emissions? Then you might want to contribute to the BholdN project where we want to make NH3 emissions visible in biochar treated fields. We
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models. However, rigorous methods for evaluating XAI algorithms are currently lacking. This is in large part due to a gap between how explainability is evaluated within computer science and philosophy. In
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are conducted in an international and multidisciplinary environment, bringing together expertise from across Europe in electrochemistry, energy storage, power electronics, process engineering, smart sensors, IoT
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vivo imaging using calcium and neuropeptide sensor Conducting behavioural tests Conducting histology (inc. IHC and RNAscope) Participation in laboratory meeting and journal club, department retreats, and
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and experiments with modelling of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With
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establish new strategies to improve the accuracy of radiotherapy dose calculations including algorithms for virtual iodine contrast removal. Overall, the project will aim to establish clinical workflows