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of study in the field of architecture. The scholarships also promote the exchange of experience and networking amongst colleagues. Who can apply? You can apply if you have gained a first university degree in
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to neural population coding. As a starting point, we will build upon recent advances in graph neural networks (GNNs), particularly those described by which offer a promising architecture for modelling
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instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In particular, we aim to develop a neural network architecture that will allow us
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manipulation, first in simulation and later on real experimental setups Refine a real-time planning and execution architecture for information-driven experiment steering (closed-loop control) Work in an