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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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and/or Python. Experience in, and aptitude for, complex statistical modelling (inc. mixed effects regression models and/or Bayesian statistics). Excellent written and spoken English. Desirable (traits
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), Multi-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization. Computer Networking: Resource-Constrained Networking (e.g., Internet
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the SOFA framework to model the larva’s body dynamics. Create a mesh model of the larva with the main organs required for simulation and develop plugins to control muscle and body properties. Modelling
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teaching and knowledge dissemination. The PhD position is one of 13 PhD positions in the Marie Skłodowska Curie Action Doctoral Network Scheme TRANSFORM. TRANSFORM focuses on examining whether and to what
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of Photonic Technologies (AIPT) for two prestigious three-year postgraduate positions (leading to a PhD) as Doctoral Candidates (DC) within the European Doctoral Network project Post-Digital Computing
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or a Bayesian setting. The actual detection probability might be hard to optimize, but several distances between the probability densities of the two hypotheses (target present or not) can be
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biological networks. The project also involves engaging with national and international stakeholders. In silico models aim to capture and elucidate the complex and emergent interactions of biological systems
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interdependencies between inspection items using probabilistic graphical models like Bayesian networks. These models aim to support interactive inspections by prioritizing items dynamically, combining data-driven
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quantum forces that govern them. You will join a creative and collaborative research group with a strong international position and network of international collaborators. Together, we strive to foster