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now Are you interested in designing and analysing algorithms for Bayesian networks that contribute to traceability, source attribution, and justification in clinical decision support systems? Do you
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systems (CDSSs), so that their use in the clinic can be subject to rigorous quality control and certification. In this position, you will work on exploring synergies between Bayesian networks and AutoML
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want to build hydrogels that interact with their environment and self-optimise to particular tasks? Do you enjoy exploring systems chemistry, reaction networks and self-assembly in out-of-equilibrium
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PhD candidates and faculty members will be encouraged. You will be part of a strong and coherent network of researchers. You will devote 75% of your time to research for and writing your PhD thesis
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, A. W., Gebhardt, W., Teulière, C., Zeldenrust, F., Rao, R. P. N., Triesch, J., & Ororbia, A. (2024). Predictive Coding with Spiking Neural Networks: A Survey (arXiv:2409.05386). arXiv. https://doi.org