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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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, 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
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-assembly in polymers. You will contribute to the activities of the department, and of the national and international network of researchers working in the calculus of variations. The position includes
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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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measuring the environmental impact. This impact can be measured and calculated using our Software Energy Lab, which has multiple test machines with GPUs and, in the future, AI accelerators. Development teams